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Director Biology Data Scientist Jobs (NOW HIRING)

Legend Biotech USA, Inc.

Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical ...

Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ...

Louisiana Workforce Commission

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... Questions can be directed to the chair of the search committee: Dr. Vinson Doyle Associate ...

MSD

Sr. Dir, Biology-Discovery

Cambridge, MA

$100K - $136K/yr

The Senior Director, Translational and Biomarker Lead will shape and oversee translational and ... Data Science partners. Success in this role will require the ability to work effectively across ...

Merck & Co.

Sr. Dir, Biology-Discovery

Cambridge, MA · On-site

$194.10 - $305.60/hr

... Data Science teams. * Champion adoption of emerging technologies, platforms, and therapeutic ... Biology or related field with at least seven years of direct industry experience. Required ...

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Director Biology Data Scientist information

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How much do director biology data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director biology data scientist 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.

What is the difference between Director Biology Data Scientist vs Senior Biology Data Scientist?

AspectDirector Biology Data ScientistSenior Biology Data Scientist
CredentialsAdvanced degree (PhD or Master’s), leadership experienceMaster’s or PhD, strong technical skills
Work EnvironmentLeadership role, strategic planning, team managementHands-on data analysis, model development
Employer & IndustryBiotech, pharma, research institutionsBiotech, pharma, research labs

The Director Biology Data Scientist oversees teams and sets strategic goals, focusing on leadership and project direction. In contrast, the Senior Biology Data Scientist is more involved in technical analysis and model building. Both roles require advanced degrees and experience in biology and data science, but the director position emphasizes management and strategic planning.

What cities are hiring for Director Biology Data Scientist jobs?

Cities with the most Director Biology Data Scientist job openings:

What are the most commonly searched types of Biology Data Scientist jobs?

The most popular types of Biology Data Scientist jobs are:

What states have the most Director Biology Data Scientist jobs?

States with the most job openings for Director Biology Data Scientist jobs include:

Director Biology Data Scientist jobs near you

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted 4 days ago

Job description

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Key Responsibilities 

  • Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
  • Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
  • Perform quality control, normalization, and batch-correction across heterogeneous datasets.
  • Design, optimize, and maintain robust, scalable bioinformatics pipelines.
  • Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
  • Procure and integrate existing biological databases with internal datasets.
  • Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
  • Collaborate with IT and other functional groups.

Requirements

  • Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
  • Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
  • Ability to turn raw biological data into structured insights.
  • Strong experience with AI application in data science.
  • Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
  • Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
  • A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
  • Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
  • Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
  • Creative, innovative and excellent communication and presentation skills.
  • This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.

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