8 Drug Discovery jobs in South Africa

Senior Research Scientist - Biogeochemical Modeler

Department of Primary Industries and Regions

Job Reference:

Location: 5024 - WEST BEACH

Job Status: Long Term Contract

Eligibility: Open to Everyone

We have an opportunity for a Senior Research Scientist – Biogeochemical Modeler to be part of our South Australian Research and Development Institute Division within the Department of Primary Industries and Regions.

The primary purpose of this role is to lead and deliver complex research projects that influence the sustainable development of South Australian marine industries and the effective management of marine ecosystems. The position leads the development and application of coupled marine biogeochemical models under current and future climate change scenarios for industry and grant-funded projects within the Oceanography Subprogram of SARDI’s Marine Ecosystems Program.

The role contributes to delivering the agency’s priorities including ‘sustain the resource’ and ‘manage risk and recovery’ by informing the sustainable management of South Australia’s seafood and marine-based industries, effective management of marine environmental assets, and enhanced resilience of regional communities through science-led innovation and policy advice.

South Australia is internationally recognised for the quality of its agriculture, food, and wine. Our regions are the backbone of our state and the economic powerhouse that drives prosperity for all South Australians.

The Department of Primary Industries and Regions (PIRSA) is a key economic development agency working in partnership with our primary industries, regional stakeholders and across all levels of government to advance the prosperity and sustainability of South Australia’s primary industries and regional communities.

At the Department of Primary Industries and Regions, we offer our employees challenging and rewarding work with opportunities for career progression, learning and development and flexibility.

The Department of Primary Industries and Regions is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We embrace diversity and welcome applications from all people, irrespective of culture, faith, sexual orientation, gender identity, disability, or age.

• Possession of a current Class C driver’s licence and willingness to drive.
• Ability and willingness to undertake sampling and experiments from small research vessels and industry partner vessels, including extended hours at sea.
• Out-of-hours work and inter- and intrastate travel may be required.
• The position is based at SARDI’s West Beach facility and the Lincoln Marine Science Centre, with trials at offshore aquaculture leases in the Port Lincoln region requiring regular travel between sites.
• Periods of time will be spent at sea on small boats and large research vessels.
• Australian residency or current works permit is required (responsibility of applicant to provide evidence of a current work permit).
• You acknowledge your work, health and safety obligations and our expectations when applying for a role.
• The incumbent will be required to undertake emergency management training and must be willing to participate in emergency preparedness, response and recovery activities required by government agencies.
• The incumbent will be required to contribute to whole-of-agency working groups developing PIRSA policy responses to significant and emerging issues as required.

• A PhD or equivalent in a relevant field of science, such as numerical modelling in physical and/or biogeochemical oceanography.

PO4 - $110,696 min - $120,470 max per annum, plus superannuation

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:

o industry experience

o a proven track record of successful AI product design and deployments

o experience applying AI to medical and health-related research.

• Excellent communication and interpersonal skills with proven ability to effectively collaborate in multidisciplinary environments.

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

• A 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

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

• A 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

Staff Research Scientist (Machine Learning Specialist) - SDL6

Date Posted: 09/02/2025
Req ID: 45033
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Research Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the AC with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

• SDL1 - Inorganic solid-state compounds for advanced materials and energy
• SDL2 - Organic small molecules for sustainability and health
• SDL3 - Medicinal chemistry for improving small molecule drug candidates
• SDL4 - Polymers for materials science and biological applications
• SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
• SDL6 - Biocompatibility with organoids / organ-on-a-chip
• SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
• A central AI and Automation lab to support all the SDLs

Position Overview:

We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated iPSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting).

The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit.

This posted position is for a Staff Research Scientist at SDL6 (Human Organ Mimicry).

This is a two-year term with the possibility of renewal.

Expertise that is desired:

Computational expertise

• Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields.
• Programming and high-performance computing
• Experience in design of computational pipelines for large-scale imaging
• Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods
• Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning
• Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data

Additional expertise that is desired (but not required):

• Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools
• Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms
• Familiarity with generative modeling
• Experience with advanced ML techniques for representation learning and multi-modal data integration

The Staff Research Scientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Research Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL.

The Staff Research Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Research Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

• Machine learning for SDL Development

Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making.

• SDL and Automation Development

Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

• Research Direction

Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2D cell culture models to more complex 3D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts.

Tasks include:

• Managing the research and development projects of AC’s industry partners when implemented in AC labs
• Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects
• Working with Product Managers to ensure research outcomes meet partner requirements
• Promoting AC’s research capacity, including delivering presentations at conferences
• Collaboration in preparing and submitting research proposals to granting agencies and progress reporting
• Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process
• Mentor junior lab members and promote a collaborative team environment

Other

• Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners
• Support research-focused events such as Annual Symposium

MINIMUM QUALIFICATIONS:

Education – Ph.D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field.

Experience

• One (1) to 5 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis
• Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena
• Experience with overseeing the activities of a lab.
• Experience working with industry partners and on industry led research and development projects.
• Strong experience presenting research at academic conferences.
• Demonstrated record of academic and/or research excellence
• Must have a strong scholarly publication record.

Skills

• Skills in electronic/hardware-oriented programming and machine learning
• Strong and effective communicator in oral and written English
• Collegial in working with team members and collaborators.
• Ability to work independently.

Other

• Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 10/31/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type: Grant - Term (2 years term with possibility of renewal)
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $3,520 - 100,350 (salary will be assessed and may go above the range based on skills and experience)
Job Category: Research Administration & Teaching

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact

The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that research, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisation's work contributes to industrial development and supports a capable state. The CSIR has a vacancy for a Research Scientist: Machine Learning and Statistical Modelling for Ocean-Climate Science in the

The Council for Scientific and Industrial Research (CSIR) is a leading scientific and technology research organisation that researches, develops, localises and diffuses technologies to accelerate socio-economic prosperity in South Africa. The organisations work contributes to industrial development and supports a capable state.

Research Scientist: Machine Learning and Statistical Modelling for Ocean-Climate Science
About The Job
The Southern Ocean CarbonClimate Observatory (SOCCO) at the CSIR has a vacancy for
Researc
h
Scientist
in large-scale ocean carbon cycle processes that can apply machine learning, artificial intelligence, and statistical modelling to advancing understanding of global CO? fluxes and their direct policy relevance, positioning the researcher at the forefront of international climate science. By linking Southern Ocean research to global carbon cycle assessments, the successful candidate will work within a dynamic, world-leading team and help shape future strategies for carbon monitoring and management. This position is based in Cape Town.

Key Rsponsibilities

• Lead the development, refinement, and application of machine learning frameworks to improve surface ocean CO? flux estimates, building on SOCCOs flagship ML-based CO? flux product (CSIR-ML6).
• Lead RD and innovation in the development of emerging AI technologies and techniques and application in the field of ocean-climate research
• Evaluate the performance of Earth System Models (CMIP6/7) against the ML-based observational CO? flux product, focusing on:mean-state climatologies,spatial, temporal, and seasonal variability, andlong-term trends.
• Diagnose discrepancies between ocean-climate models and reconstruction products using Observing System Simulation Experiments (OSSEs) and advanced statistical approaches.
• Conduct high-resolution OSSEs to optimize Southern Ocean CO? observing strategies and reduce uncertainty in sink estimates.
• Supervise, train, and mentor postgraduate researchers, contributing to the growth of capacity in AI-driven climate science and advancing its integration into ocean-climate modelling
• Actively contribute to international science-policy processes such as the Global Carbon Budget and State of the Climate reports.
• Contribute actively to the development of competitive research proposals to secure external funding for long term sustainability of research activities.

Qualifications, Skills And Experience

• A Doctoral degree in Earth System Science, Oceanography, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field; with atleast five years proven expertise in machine learning, AI, and high-performance scientific computing;
• At least five years experience applying supervised and unsupervised machine learning methods (e.g., neural networks, gradient boosting, clustering) to environmental or geophysical datasets, including development of approaches to improve predictive skill and model performance;
• Demonstrated ability to work with large, sparse, and heterogeneous datasets, including gap-filling, noise reduction, spatiotemporal post-processing, and integration of observational and model outputs;
• Ability to translate machine learning outputs into climate and environmental science applications;
• Demonstrated track record of international collaboration and publications in leading peer-reviewed journals;
• Excellent communication skills, including capacity-building and postgraduate supervision.

Whats in it for you?
The CSIR Offers

• Flexible hybrid work arrangement;
• Learning and development opportunities.
• Competitive and market-related remuneration packages.
• Total guaranteed salary packages which encompass contributions to the pension fund, risk insurance and medical scheme.
• We openly acknowledge and reward our employees' contributions and accomplishments through our esteemed CSIR Excellence Awards.

PLEASE NOTE THAT FEEDBACK WILL BE GIVEN TO SHORTLISTED CANDIDATES ONLY.
For more info, please email us at Please
do-not
send your applications to this mailbox, it is only for enquiries.

The CSIR is an equal opportunity employer. As such, it is committed to the employment Equity Act and will through the filling of this vacancy, give preference to candidates from designated groups in terms of the Employment Equity Act. By applying for this position at the CSIR, the applicant understands, and agrees that the CSIR may solicit a credit and criminal report from registered credit bureau and/or South African Police Services (in relation to positions that requires trust and honesty and/or entail the handling of cash or finances), and may also verify the applicants educational qualification and employment history.
The CSIR reserves the right to remove the advertisement at any time before the stated closing date and it further reserves the right not to appoint if a suitable candidate is not identified. **

Africa 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 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.

Brookhaven National Laboratory ) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country. Our organization fully supports service members transitioning from active duty to civilian life and pledge's our commitment to actively hire veterans of the U.S. Armed Forces. Military personnel who have been formally trained or have relevant experience obtained while in service may meet educational requirements and are encouraged to apply for job opportunities at BSA.

Organizational Overview

The Environmental & Climate Sciences Department (ECSD) ) at Brookhaven National Laboratory focuses on a wide range of theoretical, experimental, and field studies in support of the U.S. Department of Energy's climate and energy research agendas. Work is supported by the Atmospheric Radiation Measurement (ARM) User Facility ), an observations-based program that measures aerosols, clouds, precipitation, radiation, and atmospheric dynamics; the Atmospheric Systems Research Program ), and the Environmental System Science Program ). This work is pursued with the ultimate goal of improving predictability and reducing the uncertainty in global and regional climate models. The department research portfolio also includes development of environmental technologies and applications for renewable energies, urban science, and national security.

The Aerosol Chemistry & Microphysics Group ) within ECSD is focused on improving process-level understanding of aerosol formation and evolution mechanisms, aerosol absorption, and the direct and indirect influences that aerosols have on clouds, precipitation and climate. Understanding the physics, chemistry and dynamics of interactions along this aerosol-cloud-precipitation continuum is crucial for development of a predictive understanding of the climate system.

Position Description

The Aerosol Chemistry & Microphysics Group seeks a Postdoctoral Research Associate to advance understanding of the atmospheric boundary layer dynamics that control the spatial distribution and timing of new particle formation (NPF) – the formation of new aerosol from gas-phase precursors. The ideal candidate will have a strong interest in aerosol instrument development, observational field deployments, and the synthesis of observational data sets of atmospheric boundary layer dynamics and aerosol properties. This position has a high level of interaction with an international and multicultural scientific community.

NPF is an important environmental nano-scale process, with field measurements and modeling studies indicating that freshly formed particles can contribute significantly to the global population of aerosol and cloud condensation nuclei. While there have been an increasing number of NPF measurements from surface-based platforms, there have been very few measurements of vertically-resolved NPF from aerial platforms. Vertically-resolved atmospheric NPF measurements are needed because aerosol formation in the upper troposphere may be a significant source of cloud condensation nuclei. Furthermore, these vertically-resolved measurements are needed to connect the atmospheric conditions that drive atmospheric NPF with large-scale boundary layer transport processes and meteorology. In this project, we will be utilizing observations of boundary layer dynamics and vertically-resolved nanoparticle concentrations ) to understand how local micrometeorology and boundary layer dynamics control the evolution and distribution of boundary layer aerosol properties and processes.

Essential Duties And Responsibilities
Analyze co-located observations of atmospheric dynamics and spatially-distributed aerosol Determine the atmospheric controls on aerosol spatial and temporal dynamics Publish in peer-reviewed journals Present at national and international meetings

Position Requirements

Required
Required Knowledge, Skills, and Abilities:
Ph.D. in aerosol science, atmospheric science, meteorology, engineering, or a closely related field Experience with using remotely sensed observations of atmospheric boundary layer aerosol, dynamics, and meteorology Clear and concise verbal and written communication and collaboration skills Ability to develop and pursue independent research ideas Ability to work well in a diverse team across cultures and experiences

Preferred Knowledge, Skills, And Abilities
Experience with using in-situ observations of newly formed aerosol A record of publication in high quality, internationally recognized journals

Other
BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events. Review of applications begins immediately. Applications will be accepted until the position is filled. The initial term appointment will be one year, subject to renewal contingent on funding and performance. Research will be under the direction of Dr. Chongai Kuang.

Benefits
At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:

Medical, Dental, and Vision Care Plans Flexible Spending Accounts Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave) 401(k) Plan Flexible Work Arrangements Tuition Assistance, Training and Professional Development Programs Employee Fitness/Wellness & Recreation: Gym/Basketball Courts, Weight Room, Fitness Classes, Indoor Pool, Tennis Courts, Sports Clubs/Activities (Basketball, Ping Pong, Softball, Tennis) Brookhaven Science Associates requires proof of a COVID-19 vaccination for all employees. Proof of full vaccination as recognized by the CDC and/or WHO, inclusive of the two-week waiting period, is required at the start of your employment.

Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.

BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.

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