LIFE SCIENCE
FOCUS
FROM BIOTECH TO PHARMACEUTICAL, WE HELP THE BEST LIFE SCIENCE TALENT FIND REWARDING DATA & ANALYTICS CAREERS.
Now that technology allows for a person’s entire genomic data to be processed within a day, there is a huge demand for those who can analyze information and apply insights to advances in Healthcare.
Whether you’re learning about living systems, creating algorithms to interpret DNA, or building real—world models to interpret your findings, our Life Science team understand the importance of placing the right talent in the right business.
HEALTH
INFORMATICS
From Biotech and Pharmaceutical firms to Research and Academia, we help the best Health Informaticians find rewarding careers.
With the US seeing $250 Billion worth of wasted healthcare data every year there is a huge demand for technologies that can provide the right data, to the right person, at the right time. M.D.s with an understanding of Informatics are now more desirable than ever.
From driving division strategy to integrating, modelling and transforming data, we understand the importance of Health Informaticians, and how to find the right one.
BIO
INFORMATICS
Bioinformaticians are some of the most sought-after professionals in 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 pure science, combined with an ability to model data, utilizing languages such as Python and R, has led to high demand from Biotech start-ups and large Pharma firms.
JOBS
LATEST HEALTHCARE
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
AI Engineer
San Francisco
$200000 - $220000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Engineer
San Francisco, California
Remote
$200,000 – $220,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.
Role Responsibilities
- Build models and pipelines across EMR/EHR, imaging, clinical reports
- Translate ambiguous clinical requirements into measurable ML objectives
- Define metrics, design experiments, estimate error; review peer work
- Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.
Key Requirements
- Python
- Pytorch or Tensorflow
- Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
- Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
- Nice to have experience in oncology/biotech/health tech

To Apply for this Job Click Here
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