BIOSTATISTICS
TALENT SOLUTIONS
Harnham is a leader in recruiting biostatistics professionals who bring statistical expertise to the analysis of biological data, playing a critical role in public health, clinical trials, and medical research.
Biostatisticians are highly sought after for their skills in statistical analysis, data interpretation, and proficiency with software like SAS, R, and SPSS. Experience with clinical trial design, epidemiological research, and data management is particularly valued.
WHY
HARNHAM?
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- Dedicated Expertise: With over 17 years of experience, we understand the unique skill set required for biostatistics roles.
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- Global Reach: Our extensive network of biostatistics professionals spans across the United States, Europe, and the United Kingdom.
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- Tailored Recruitment Solutions: We offer recruitment services that are specifically designed to meet your needs, whether for contract, permanent, or leadership positions.
OUR
SERVICES
- ATD - Rockborne: Access to newly trained biostatisticians who bring fresh perspectives and skills to your team.
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- Contract / Freelance: Interim professionals to provide the expertise you need for specific projects.
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- Full-Time / Direct Hiring: Sourcing permanent biostatisticians to support your long-term research and public health objectives.
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- Executive Search: Identifying leaders in biostatistics who can drive your research initiatives.
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- GenAI, Prompt, LLM Training: Customized training programs to keep your biostatistics team ahead of the curve.
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Partner with Harnham: Whether you are seeking to build a team or find a new career opportunity in biostatistics, Harnham has the expertise to help you succeed. Contact us to discuss your recruitment needs.
For Job Seekers: Looking for opportunities in biostatistics? Explore our current job openings and find the role that’s right for you.
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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I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
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We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
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