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Mid Level Biology Data Science Jobs (NOW HIRING)

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Lead and execute complex data science projects that directly advance our drug development portfolio

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... data science, including the areas of data collection processing exploitation, transformation ...

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

... level coordination boards, and technical exchange meetings. Qualifications Education ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ...

Elephas

Senior Data Scientist

Madison, WI

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Mentor junior and mid-level data scientists, supporting their technical growth, project execution ...

GRVTY

Data Scientist - Mid

Springfield, VA · On-site

They are seeking a Mid-Level Data Scientist to provide automation and GEOINT integration support, improve operational efficiency, and enhance data management practices by designing and implementing ...

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Mid Level Biology Data Science information

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How much do mid level biology data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for mid level biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
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Mid Level Biology Data Science jobs near you

Director, Data Science

Formation Bio

Boston, NY

$235K - $307K/yr

Full-time

Re-posted 26 days ago

Job description

About the Position

As the Director of Data Science at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

  • Lead and execute complex data science projects that directly advance our drug development portfolio 
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
  • Aid in the development and training of AI agents to automate and optimize biomedical workflows 
  • Collaborate cross-functionally with clinical, technical, and research teams 
  • Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

  • PhD in computational sciences or life sciences 
  • 7+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
  • Strong programming skills, particularly in Python 
  • Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
  • Strong background in machine learning and deep learning, particularly in biological applications 
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Total Compensation Range: $235,000 - $307,000

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