BIOINFORMATICS TALENT SOLUTIONS
Bioinformaticians are some of the most sought-after professionals within Life Science Analytics. Their insights have been continuously proven as critical for the development of new biomarkers, drugs, therapeutics and healthcare platforms.
In particular, their understanding of the pure science, combined with an ability to model data, utilizing languages such as Python and R, has led to a high demand from Biotech start-ups and large Pharma firms.
WHY
HARNHAM?
- Specialization in Data-Driven Roles: With over 17 years of recruitment expertise, we possess a deep understanding of the skills and experience needed for top-performing bioinformatics professionals.
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- Global Talent Reach: We maintain an extensive network of bioinformatics experts across the United States, Europe, and the United Kingdom, ensuring access to the best talent globally.
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- Tailored Recruitment Strategies: Our recruitment services are customized to meet your specific needs, whether you require interim, permanent, or leadership-level candidates.
OUR
SERVICES
- ATD - Rockborne: Graduates with cutting-edge bioinformatics training, ready to contribute to your team immediately.
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- Contract / Freelance: Agile staffing solutions to quickly address project-specific needs.
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- Full-Time / Direct Hiring: Identifying and securing long-term bioinformatics talent to support your research goals.
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- Executive Search: Sourcing strategic leaders who can drive innovation within your bioinformatics team.
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- GenAI, Prompt, LLM Training: Tailored training programs designed to enhance the skills of your existing bioinformatics team.
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Partner with Harnham: Whether you're looking to expand your team or find your next career move, we connect you with the bioinformatics talent or opportunities you need. Contact us to learn more about our specialized recruitment services.
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For Job Seekers: Interested in bioinformatics opportunities? Explore the latest roles with us and advance 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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Industry Hub
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
