113 Agricultural Research And Development jobs in South Africa

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo). To achieve this goal, we’re building zk Sync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1 M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission. The Role We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a Ph D in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs. We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement. What You’ll Be Doing We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building. We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed. We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen. What We Look For In You Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning. A Ph D in computer science or related discipline. A track record of research relevant to or deployed in an industrial setting. Ability and willingness to produce technical blogs, reports, and papers. Deep understanding of software engineering best-practices. Ownership mindset and a track record of successfully accomplished projects. In-depth knowledge of common algorithms, data structures, and their computational & memory complexities. Proven publication history. Experience implementing complex prototypes both from scratch and based on existing code bases. Ability to produce code that leads to industrial deployment. English is your native language or you are completely fluent. Working at Matter Labs At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive. Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace. We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization. If this role resonates with you, apply now for prompt feedback. Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate. #J-18808-Ljbffr

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo). To achieve this goal, we’re building zk Sync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1 M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission. The Role We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a Ph D in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs. We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement. What You’ll Be Doing We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building. We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed. We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen. What We Look For In You Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning. A Ph D in computer science or related discipline. A track record of research relevant to or deployed in an industrial setting. Ability and willingness to produce technical blogs, reports, and papers. Deep understanding of software engineering best-practices. Ownership mindset and a track record of successfully accomplished projects. In-depth knowledge of common algorithms, data structures, and their computational & memory complexities. Proven publication history. Experience implementing complex prototypes both from scratch and based on existing code bases. Ability to produce code that leads to industrial deployment. English is your native language or you are completely fluent. Working at Matter Labs At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive. Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace. We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization. If this role resonates with you, apply now for prompt feedback. Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate. #J-18808-Ljbffr

Lecturer/ Senior Lecturer/ Research Scientist

Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University

Lecturer/ Senior Lecturer/ Research Scientist

1 day ago Be among the first 25 applicants

Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University

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Description

Job Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown,ZA Organization Name Faculty Research (FRC) Department Description

Description

Job Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown,ZA Organization Name Faculty Research (FRC) Department Description

Lecturer / Senior Lecturer / Research Scientist in Artificial Intelligence for Health Science

Faculty of Health Sciences

University of the Witwatersrand, Johannesburg

Position Type: 5-year renewable contract

About the Position: The Faculty of Health Sciences at WITS University invites suitably qualified candidates to apply for a Lecturer / Senior Lecturer / Researcher position specializing in Artificial Intelligence (AI) for health sciences. This is an exciting opportunity to join a dynamic faculty and contribute meaningfully to building cutting-edge health sciences research and innovation.

Brief Description

Key Responsibilities

• Lead and execute high-quality research integrating AI methodologies into the broad field of health sciences.
• Publish findings in reputable peer-reviewed journals and present research at international conferences.
• Collaborate with interdisciplinary health science teams to develop innovative AI-driven products and solutions tailored to medical and health science applications.
• Help nurture collaborations between the Faculty of Health Sciences at WITS and both the MIND institute and the School of Computer Sciences and Applied Mathematics at WITS.
• Provide mentorship and supervision of postgraduate students.
• Participate in securing external funding through grant applications and industry partnerships.
• Engage actively with industry stakeholders to ensure effective translation of research into viable products.
  
  

Qualifications And Experience

• Relevant Master's degree (MSc) in Engineering, Physics, Information Technology, Computer Science, or a closely related discipline is required. A PhD will be highly advantageous.
• Extensive experience in building and deploying AI solutions across diverse applications, including natural language processing, computer vision, statistical modeling, regression, AI agents and large language models and tools.
• The following will be advantageous:
• industry experience
• a proven track record of successful AI product design and deployments
• experience applying AI to medical and health-related research.
• Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments.
  
  

Requirements

Detailed Description Job Requirements Additional Details How To Apply

See attached selection criteria

Remuneration: Competitive salary and benefits package commensurate with qualifications and experience.

Contact Details: For inquiries please contact:

To Apply

Please submit the following documents on or for internal applicants cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position.

A detailed CV, including contact details, names, telephone numbers and email addresses of 3 referees, which one of the referees must be your current or recent line manager.

Certified copies of qualifications including Matric.

South African identity document or passport and permit.

The University is committed to employment equity, and as a result, preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University.

The University retains the right not to make an appointment and to verify all information provided by candidates.

Please note that correspondence will only be entered into with shortlisted candidates.

The University reserves the right not to make an appointment or to re-advertise .

The University is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University. The University retains the right not to make an appointment and to verify all information provided by candidates.

Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise.

Minimum Salary Maximum Salary Currency Amount of Travel Work At Home

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Education and Training
• Industries Higher Education

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Lecturer/ Senior Lecturer/ Research Scientist Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University Lecturer/ Senior Lecturer/ Research Scientist 1 day ago Be among the first 25 applicants Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University Get AI-powered advice on this job and more exclusive features. DescriptionJob Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown, ZA Organization Name Faculty Research (FRC) Department Description DescriptionJob Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown, ZA Organization Name Faculty Research (FRC) Department DescriptionLecturer / Senior Lecturer / Research Scientist in Artificial Intelligence for Health ScienceFaculty of Health SciencesUniversity of the Witwatersrand, JohannesburgPosition Type: 5-year renewable contractAbout the Position: The Faculty of Health Sciences at WITS University invites suitably qualified candidates to apply for a Lecturer / Senior Lecturer / Researcher position specializing in Artificial Intelligence (AI) for health sciences. This is an exciting opportunity to join a dynamic faculty and contribute meaningfully to building cutting-edge health sciences research and innovation.Brief DescriptionKey ResponsibilitiesLead and execute high-quality research integrating AI methodologies into the broad field of health sciences. Publish findings in reputable peer-reviewed journals and present research at international conferences. Collaborate with interdisciplinary health science teams to develop innovative AI-driven products and solutions tailored to medical and health science applications. Help nurture collaborations between the Faculty of Health Sciences at WITS and both the MIND institute and the School of Computer Sciences and Applied Mathematics at WITS. Provide mentorship and supervision of postgraduate students. Participate in securing external funding through grant applications and industry partnerships. Engage actively with industry stakeholders to ensure effective translation of research into viable products. Qualifications And ExperienceRelevant Master's degree (MSc) in Engineering, Physics, Information Technology, Computer Science, or a closely related discipline is required. A Ph D will be highly advantageous. Extensive experience in building and deploying AI solutions across diverse applications, including natural language processing, computer vision, statistical modeling, regression, AI agents and large language models and tools. The following will be advantageous: industry experience a proven track record of successful AI product design and deployments experience applying AI to medical and health-related research. Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments. RequirementsDetailed Description Job Requirements Additional Details How To ApplySee attached selection criteriaRemuneration: Competitive salary and benefits package commensurate with qualifications and experience.Contact Details: For inquiries please contact: To ApplyPlease submit the following documents on or for internal applicants cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position. A detailed CV, including contact details, names, telephone numbers and email addresses of 3 referees, which one of the referees must be your current or recent line manager. Certified copies of qualifications including Matric. South African identity document or passport and permit. The University is committed to employment equity, and as a result, preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University.The University retains the right not to make an appointment and to verify all information provided by candidates.Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise .The University is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University. The University retains the right not to make an appointment and to verify all information provided by candidates.Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise. Minimum Salary Maximum Salary Currency Amount of Travel Work At Home Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Education and Training Industries Higher Education Referrals increase your chances of interviewing at Southern Centre for Inequality Studies (SCIS) Wits University by 2x Sign in to set job alerts for “Senior Lecturer” roles. Centurion, Gauteng, South Africa 3 weeks ago Centurion, Gauteng, South Africa 6 days ago Johannesburg, Gauteng, South Africa 1 month ago Senior Lecturer (Faculty of Humanities: Department of Psychology) (Re-advert) Johannesburg, Gauteng, South Africa 1 month ago Lecturer/ Senior Lecturer/ Research Scientist Johannesburg, Gauteng, South Africa 2 days ago Lecturer (Exposure Science) (3 year contract) Johannesburg, Gauteng, South Africa 1 week ago Lecturer (Exposure Science) (3 year contract) (AC.08.4) Johannesburg, Gauteng, South Africa 6 days ago Centurion, Gauteng, South Africa 2 weeks ago City of Johannesburg, Gauteng, South Africa 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Lecturer/ Senior Lecturer/ Research Scientist Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University Lecturer/ Senior Lecturer/ Research Scientist 1 day ago Be among the first 25 applicants Join to apply for the Lecturer/ Senior Lecturer/ Research Scientist role at Southern Centre for Inequality Studies (SCIS) Wits University Get AI-powered advice on this job and more exclusive features. DescriptionJob Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown, ZA Organization Name Faculty Research (FRC) Department Description DescriptionJob Title Lecturer/ Senior Lecturer/ Research Scientist Location Parktown, ZA Organization Name Faculty Research (FRC) Department DescriptionLecturer / Senior Lecturer / Research Scientist in Artificial Intelligence for Health ScienceFaculty of Health SciencesUniversity of the Witwatersrand, JohannesburgPosition Type: 5-year renewable contractAbout the Position: The Faculty of Health Sciences at WITS University invites suitably qualified candidates to apply for a Lecturer / Senior Lecturer / Researcher position specializing in Artificial Intelligence (AI) for health sciences. This is an exciting opportunity to join a dynamic faculty and contribute meaningfully to building cutting-edge health sciences research and innovation.Brief DescriptionKey ResponsibilitiesLead and execute high-quality research integrating AI methodologies into the broad field of health sciences. Publish findings in reputable peer-reviewed journals and present research at international conferences. Collaborate with interdisciplinary health science teams to develop innovative AI-driven products and solutions tailored to medical and health science applications. Help nurture collaborations between the Faculty of Health Sciences at WITS and both the MIND institute and the School of Computer Sciences and Applied Mathematics at WITS. Provide mentorship and supervision of postgraduate students. Participate in securing external funding through grant applications and industry partnerships. Engage actively with industry stakeholders to ensure effective translation of research into viable products. Qualifications And ExperienceRelevant Master's degree (MSc) in Engineering, Physics, Information Technology, Computer Science, or a closely related discipline is required. A Ph D will be highly advantageous. Extensive experience in building and deploying AI solutions across diverse applications, including natural language processing, computer vision, statistical modeling, regression, AI agents and large language models and tools. The following will be advantageous: industry experience a proven track record of successful AI product design and deployments experience applying AI to medical and health-related research. Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments. RequirementsDetailed Description Job Requirements Additional Details How To ApplySee attached selection criteriaRemuneration: Competitive salary and benefits package commensurate with qualifications and experience.Contact Details: For inquiries please contact: To ApplyPlease submit the following documents on or for internal applicants cover letter outlining your interest and suitability for this Lecturer/ Senior Lecturer / Researcher position. A detailed CV, including contact details, names, telephone numbers and email addresses of 3 referees, which one of the referees must be your current or recent line manager. Certified copies of qualifications including Matric. South African identity document or passport and permit. The University is committed to employment equity, and as a result, preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University.The University retains the right not to make an appointment and to verify all information provided by candidates.Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise .The University is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the University. The University retains the right not to make an appointment and to verify all information provided by candidates.Please note that correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment or to re-advertise. Minimum Salary Maximum Salary Currency Amount of Travel Work At Home Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Education and Training Industries Higher Education Referrals increase your chances of interviewing at Southern Centre for Inequality Studies (SCIS) Wits University by 2x Sign in to set job alerts for “Senior Lecturer” roles. Centurion, Gauteng, South Africa 3 weeks ago Centurion, Gauteng, South Africa 6 days ago Johannesburg, Gauteng, South Africa 1 month ago Senior Lecturer (Faculty of Humanities: Department of Psychology) (Re-advert) Johannesburg, Gauteng, South Africa 1 month ago Lecturer/ Senior Lecturer/ Research Scientist Johannesburg, Gauteng, South Africa 2 days ago Lecturer (Exposure Science) (3 year contract) Johannesburg, Gauteng, South Africa 1 week ago Lecturer (Exposure Science) (3 year contract) (AC.08.4) Johannesburg, Gauteng, South Africa 6 days ago Centurion, Gauteng, South Africa 2 weeks ago City of Johannesburg, Gauteng, South Africa 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Production Research Data Scientist

Purpose:

• The Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region.
• Accountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools.
• Leads specific projects within the region and is part of a global data analytics network to support broad initiatives and represent Africa in the Global Data Analytics network to help shape global PR strategy, governance, and projects.
  
  

Scope (regional, local, global):

• Support Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis.
• Data availability (data gathering, data quality, data access and database management system).
• Implementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team.
  
  

Key Responsibilities:

• Provide data management technical expertise & support, as needed, in solving critical business issues.
• Responsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as:
• Regional Portfolio Management Process
• Foundation Seed Production Planting Instructions
• Hybrid Seed Production Planting Instructions
• Hybrid Seed Production Yield Forecasting across Africa
• Data source mapping, data gathering, data access to support Data Base building process.
• Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets
• Perform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams.
• Attend regional and global missions to support projects identification and results presentation.
• Decision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production.
• Innovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts.
• Consolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability.
• Support KPIs build up and follow up with action plans to team members.
• Support regional team with statistical data analysis.
• Support Production Research team with building data visualization and training on the use of data visualization tools.
• Manage Row Crop Production Research / Parent Test databases.
• Develop data management systems to ensure proper data QC processes and data integrity.
• Work closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management.
• Provide guidelines for database audit process and compliance.
• Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information.
• Must be able to travel and support the needs within the Africa region.
• Manage the Africa Production Support QMS system (ISO9001).
• HSE Responsibilities:
• Leading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology.
• Adherence to all applicable legislation, Bayer safety policies and procedures.
• Actively promoting the Bayer safety culture and best practices.
• Participation in compiling Risk assessments and Job safety analysis.
• Actively recording safety observation and near misses.
• Participating in 5WHY problem solving identifying corrective and preventative actions.
  

Key Working Relations:

• Data Insights and Pipeline Advancement Unit
• SSA and RSA Research and Testing Missions
• Agronomy and Technology Deploy Mission
• Foundation and Commercial Seed Production
• Production Management
• Production Quality
• Breeding (R&D)
• Portfolio Management
  
  

Qualifications & Experience:

Education:

• MSc. in Data Sciences or related Agricultural discipline with 5+ years’ experience Agronomy/Plant Science; or BSc/MSc in Agronomy/Plant Science with strong data analytics aptitude.
  
  

Experience:

• Excellent project management and organizational skills.
• Excellent communication – oral, written, under diverse circumstances and audiences.
• Strong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling.
• A track record of successful project delivery.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.
  
  

Qualifications:

Required:

• Proven data science experience in the life sciences field.
• Strong statistical skills.
• Extensive experience processing, analyzing, and visualizing large datasets.
• Excellent oral and written communications skills.
  
  

Desired:

• Additional experience in Predictive Analytics, Modelling, and Simulation.
• Sound decision making and judgement skills.
• Six Sigma or Lean manufacturing expertise.
  
  

Functional Competencies:

• Excellent human relation skills, effective oral and written communication skills required. Capability to clearly present information and influence or persuade others (multilingual in local language / English).
• The ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team.
• Ability to work in a fast-paced global and multi-cultural seed company.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.
• Challenging the status quo to improve processes and the way things are done.
  
  

Application Period: 21 August 2025 - 4 September 2025 Reference Code:

Division: Crop Science Location: South Africa : North West : Brits | South Africa : North West : Lichtenburg

Functional Area: Production&Manufacturing Position Grade: VS 1.1

Employment Type: Regular Work Time: Standard

Contact Us

Address Telephone E-Mail

9 Country Estate Drive, Waterfall City, Johannesburg, 2090.

P O Box 143

Isando, 1600, South Africa



Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. #J-18808-Ljbffr

Production Research Data Scientist

Purpose:

• The Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region.
• Accountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools.
• Leads specific projects within the region and is part of a global data analytics network to support broad initiatives and represent Africa in the Global Data Analytics network to help shape global PR strategy, governance, and projects.

Scope (regional, local, global):

• Support Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis.
• Data availability (data gathering, data quality, data access and database management system).
• Implementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team.

Key Responsibilities:

• Provide data management technical expertise & support, as needed, in solving critical business issues.
• Responsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as:
  
  • Regional Portfolio Management Process
  • Foundation Seed Production Planting Instructions
  • Hybrid Seed Production Planting Instructions
  • Hybrid Seed Production Yield Forecasting across Africa
• Data source mapping, data gathering, data access to support Data Base building process.
• Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets
• Perform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams.
• Attend regional and global missions to support projects identification and results presentation.
• Decision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production.
• Innovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts.
• Consolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability.
• Support KPIs build up and follow up with action plans to team members.
• Support regional team with statistical data analysis.
• Support Production Research team with building data visualization and training on the use of data visualization tools.
• Manage Row Crop Production Research / Parent Test databases.
• Develop data management systems to ensure proper data QC processes and data integrity.
• Work closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management.
• Provide guidelines for database audit process and compliance.
• Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information.
• Must be able to travel and support the needs within the Africa region.
• Manage the Africa Production Support QMS system (ISO9001).
• HSE Responsibilities:
  
  • Leading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology.
  • Adherence to all applicable legislation, Bayer safety policies and procedures.
  • Actively promoting the Bayer safety culture and best practices.
  • Participation in compiling Risk assessments and Job safety analysis.
  • Actively recording safety observation and near misses.
  • Participating in 5WHY problem solving identifying corrective and preventative actions.

Key Working Relations:

• Data Insights and Pipeline Advancement Unit
• SSA and RSA Research and Testing Missions
• Agronomy and Technology Deploy Mission
• Foundation and Commercial Seed Production
• Production Management
• Production Quality
• Breeding (R&D)
• Portfolio Management

Qualifications & Experience:

Education:

• MSc. in Data Sciences or related Agricultural discipline with 5+ years’ experience Agronomy/Plant Science; or BSc/MSc in Agronomy/Plant Science with strong data analytics aptitude.

Experience:

• Excellent project management and organizational skills.
• Excellent communication – oral, written, under diverse circumstances and audiences.
• Strong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling.
• A track record of successful project delivery.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.

Qualifications:

Required:

• Proven data science experience in the life sciences field.
• Strong statistical skills.
• Extensive experience processing, analyzing, and visualizing large datasets.
• Excellent oral and written communications skills.

Desired:

• Additional experience in Predictive Analytics, Modelling, and Simulation.
• Sound decision making and judgement skills.
• Six Sigma or Lean manufacturing expertise.

Functional Competencies:

• Excellent human relation skills, effective oral and written communication skills required. Capability to clearly present information and influence or persuade others (multilingual in local language / English).
• The ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team.
• Ability to work in a fast-paced global and multi-cultural seed company.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.
• Challenging the status quo to improve processes and the way things are done.

Application Period:	21 August 2025 - 4 September 2025	Reference Code:
Division:	Crop Science	Location:	South Africa : North West : Brits | South Africa : North West : Lichtenburg
Functional Area:	Production&Manufacturing	Position Grade:	VS 1.1
Employment Type:	Regular	Work Time:	Standard

Contact Us
Address	Telephone	E-Mail
9 Country Estate Drive, Waterfall City, Johannesburg, 2090. P O Box 143 Isando, 1600, South Africa

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

#J-18808-Ljbffr

Production Research Data Scientist Purpose: The Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region. Accountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools. Leads specific projects within the region and is part of a global data analytics network to support broad initiatives and represent Africa in the Global Data Analytics network to help shape global PR strategy, governance, and projects. Scope (regional, local, global): Support Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis. Data availability (data gathering, data quality, data access and database management system). Implementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team. Key Responsibilities: Provide data management technical expertise & support, as needed, in solving critical business issues. Responsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as: Regional Portfolio Management Process Foundation Seed Production Planting Instructions Hybrid Seed Production Planting Instructions Hybrid Seed Production Yield Forecasting across Africa Data source mapping, data gathering, data access to support Data Base building process. Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets Perform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams. Attend regional and global missions to support projects identification and results presentation. Decision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production. Innovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts. Consolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability. Support KPIs build up and follow up with action plans to team members. Support regional team with statistical data analysis. Support Production Research team with building data visualization and training on the use of data visualization tools. Manage Row Crop Production Research / Parent Test databases. Develop data management systems to ensure proper data QC processes and data integrity. Work closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management. Provide guidelines for database audit process and compliance. Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information. Must be able to travel and support the needs within the Africa region. Manage the Africa Production Support QMS system (ISO9001). HSE Responsibilities: Leading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology. Adherence to all applicable legislation, Bayer safety policies and procedures. Actively promoting the Bayer safety culture and best practices. Participation in compiling Risk assessments and Job safety analysis. Actively recording safety observation and near misses. Participating in 5 WHY problem solving identifying corrective and preventative actions. Key Working Relations: Data Insights and Pipeline Advancement Unit SSA and RSA Research and Testing Missions Agronomy and Technology Deploy Mission Foundation and Commercial Seed Production Production Management Production Quality Breeding (R&D) Portfolio Management Qualifications & Experience: Education: MSc. in Data Sciences or related Agricultural discipline with 5+ years’ experience Agronomy/Plant Science; or BSc/MSc in Agronomy/Plant Science with strong data analytics aptitude. Experience: Excellent project management and organizational skills. Excellent communication – oral, written, under diverse circumstances and audiences. Strong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling. A track record of successful project delivery. Decision making and problem-solving skills. Act in solving problems while exhibiting judgment and a realistic understanding of issues. Qualifications: Required: Proven data science experience in the life sciences field. Strong statistical skills. Extensive experience processing, analyzing, and visualizing large datasets. Excellent oral and written communications skills. Desired: Additional experience in Predictive Analytics, Modelling, and Simulation. Sound decision making and judgement skills. Six Sigma or Lean manufacturing expertise. Functional Competencies: Excellent human relation skills, effective oral and written communication skills required. Capability to clearly present information and influence or persuade others (multilingual in local language / English). The ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team. Ability to work in a fast-paced global and multi-cultural seed company. Decision making and problem-solving skills. Act in solving problems while exhibiting judgment and a realistic understanding of issues. Challenging the status quo to improve processes and the way things are done. Application Period: 21 August 2025 - 4 September 2025 Reference Code: Division: Crop Science Location: South Africa : North West : Brits | South Africa : North West : Lichtenburg Functional Area: Production&Manufacturing Position Grade: VS 1.1 Employment Type: Regular Work Time: Standard Contact Us Address Telephone E-Mail 9 Country Estate Drive, Waterfall City, Johannesburg, 2090. P O Box 143 Isando, 1600, South Africa Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. #J-18808-Ljbffr

Production Research Data ScientistPurpose:The Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region. Accountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools. Leads specific projects within the region and is part of a global data analytics network to support broad initiatives and represent Africa in the Global Data Analytics network to help shape global PR strategy, governance, and projects. Scope (regional, local, global):Support Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis. Data availability (data gathering, data quality, data access and database management system). Implementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team. Key Responsibilities: Provide data management technical expertise & support, as needed, in solving critical business issues. Responsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as: Regional Portfolio Management Process Foundation Seed Production Planting Instructions Hybrid Seed Production Planting Instructions Hybrid Seed Production Yield Forecasting across Africa Data source mapping, data gathering, data access to support Data Base building process. Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets Perform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams. Attend regional and global missions to support projects identification and results presentation. Decision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production. Innovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts. Consolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability. Support KPIs build up and follow up with action plans to team members. Support regional team with statistical data analysis. Support Production Research team with building data visualization and training on the use of data visualization tools. Manage Row Crop Production Research / Parent Test databases. Develop data management systems to ensure proper data QC processes and data integrity. Work closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management. Provide guidelines for database audit process and compliance. Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information. Must be able to travel and support the needs within the Africa region. Manage the Africa Production Support QMS system (ISO9001). HSE Responsibilities: Leading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology. Adherence to all applicable legislation, Bayer safety policies and procedures. Actively promoting the Bayer safety culture and best practices. Participation in compiling Risk assessments and Job safety analysis. Actively recording safety observation and near misses. Participating in 5 WHY problem solving identifying corrective and preventative actions. Key Working Relations:Data Insights and Pipeline Advancement Unit SSA and RSA Research and Testing Missions Agronomy and Technology Deploy Mission Foundation and Commercial Seed Production Production Management Production Quality Breeding (R&D) Portfolio Management Qualifications & Experience:Education:MSc. in Data Sciences or related Agricultural discipline with 5+ years’ experience Agronomy/Plant Science; or BSc/MSc in Agronomy/Plant Science with strong data analytics aptitude. Experience:Excellent project management and organizational skills. Excellent communication – oral, written, under diverse circumstances and audiences. Strong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling. A track record of successful project delivery. Decision making and problem-solving skills. Act in solving problems while exhibiting judgment and a realistic understanding of issues. Qualifications:Required:Proven data science experience in the life sciences field. Strong statistical skills. Extensive experience processing, analyzing, and visualizing large datasets. Excellent oral and written communications skills. Desired:Additional experience in Predictive Analytics, Modelling, and Simulation. Sound decision making and judgement skills. Six Sigma or Lean manufacturing expertise. Functional Competencies:Excellent human relation skills, effective oral and written communication skills required. Capability to clearly present information and influence or persuade others (multilingual in local language / English). The ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team. Ability to work in a fast-paced global and multi-cultural seed company. Decision making and problem-solving skills. Act in solving problems while exhibiting judgment and a realistic understanding of issues. Challenging the status quo to improve processes and the way things are done. Application Period: 21 August 2025 - 4 September 2025 Reference Code: Division: Crop Science Location: South Africa : North West : Brits | South Africa : North West : LichtenburgFunctional Area: Production&Manufacturing Position Grade: VS 1.1Employment Type: Regular Work Time: StandardContact UsAddress Telephone E-Mail9 Country Estate Drive, Waterfall City, Johannesburg, 2090.P O Box 143Isando, 1600, South AfricaBayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. #J-18808-Ljbffr