BIOLOGICAL DATA SCIENCE / MACHINE LEARNING TALENT SOLUTIONS
At Harnham, we connect innovative companies with experts in biological data science and machine learning, professionals who are pushing the boundaries of what data can do in fields like healthcare, genomics, and biotechnology.
Professionals in biological data science and machine learning are in high demand for their ability to apply statistical modeling, data analysis, and programming skills (Python, R) to biological datasets. Expertise in machine learning frameworks like TensorFlow, Keras, and scikit-learn, coupled with bioinformatics knowledge, is particularly valuable.
WHY
HARNHAM?
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- Specialized Recruitment Expertise: With over 17 years of experience, we know the intricacies of sourcing top talent in biological data science and machine learning.
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- Global Talent Access: We connect you with skilled professionals across the United States, Europe, and the United Kingdom.
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- Flexible Hiring Solutions: Whether you need short-term project support or long-term hires, our recruitment solutions are tailored to your needs.
OUR
SERVICES
- ATD - Rockborne: Graduates trained in the latest data science and machine learning techniques, ready to contribute to your team.
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- Contract / Freelance: Flexible staffing options to meet your immediate project demands.
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- Full-Time / Direct Hiring: Permanent placements who will help drive your long-term data science and machine learning goals.
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- Executive Search: Identifying leaders in the field who can guide your biological data science and machine learning strategies.
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- GenAI, Prompt, LLM Training: Customized training programs to ensure your team remains at the cutting edge of the field.
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Partner with Harnham: Whether you're building a team or advancing your career, Harnham connects you with the best talent and opportunities in biological data science and machine learning. Contact us to learn more.
For Job Seekers: Interested in biological data science and machine learning roles? Explore our current job openings and take the next step in your career.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
ML Scientist
San Francisco
$200000 - $280000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
ML Scientist / Researcher
Oncology AI · Foundation Models · Life Sciences
Remote
About the Role
We are building foundation models trained on human tumor biology – one of the most consequential and technically demanding challenges at the intersection of AI and medicine. As an ML Scientist, you will be a core research contributor designing and training these models across multimodal omics datasets, partnering closely with biologists and fellow research scientists to advance the state of the art in oncology AI.
This is a research-forward role for scientists who want their work to matter. We are looking for people with a track record of research excellence – those who have gone deep on model architecture, training dynamics, and rigorous experimental design. If you have built models from the ground up and published findings, we want to talk.
What You’ll Do
- Design and train large-scale foundation models on multimodal biological datasets, including genomics, transcriptomics, and other omics modalities
- Collaborate deeply with computational biologists, research scientists, and domain experts to translate biological questions into tractable modeling problems
- Drive the full research lifecycle: hypothesis formation, experimental design, model development, and rigorous analysis of results
- Contribute to agentic AI systems that reason over complex biological data
- Communicate findings internally and, where appropriate, through peer-reviewed publication
What We’re Looking For
Must-Haves
- Strong research background, typically evidenced by a PhD in machine learning, computational biology, statistics, physics, or a related quantitative field – or equivalent industry research experience
- Demonstrated ability to build and train models end-to-end, including experimental analysis and iteration
- Research excellence: first-author publications at top ML, AI, or computational biology venues are a strong positive signal
- Deep familiarity with foundation model concepts: pretraining, self-supervised learning, attention mechanisms, and large-scale training
- Comfort working at the intersection of biology and machine learning – even without a formal biology degree
Nice-to-Haves
- Experience with biological or omics data (genomics, proteomics, pathology imaging, etc.)
- Prior work in multimodal learning or multi-omics integration
- Familiarity with agentic AI systems or tool-use frameworks
- Background in oncology or disease biology
What This Role Is Not
This is not a production ML engineering or MLOps role. We are not looking for candidates whose primary experience is model deployment, serving infrastructure, or engineering-heavy systems work. The emphasis here is firmly on research depth and model development.
Compensation & Location
Base Salary: $250,000 – $288,000 (depending on experience) + equity
Location: Remote-friendly; office in South San Francisco, CA

To Apply for this Job Click Here
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