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Day Biology Data Scientist Jobs (NOW HIRING)

Legend Biotech USA, Inc.

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Whether you come from a deep biological background with strong computational skills or a data ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana Workforce Commission

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

GondolaBio

Senior Biological Data Scientist

$155K - $205K/yr

Working proficiency in Python for scientific computing and data analysis. * Comfortable tackling ... biology while contributing broadly across multiomics analyses. What We Offer * Patient Days, where ...

BridgeBio Pharma

Senior Biological Data Scientist

$155K - $205K/yr

Working proficiency in Python for scientific computing and data analysis. * Comfortable tackling ... biology while contributing broadly across multiomics analyses. What We Offer * Patient Days, where ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Your projects will focus on the domains of omics/structural biology data and neurophysiology data ... Please note this is a scientific software/data engineering position- it is not a pure machine ...

New

Slope

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $210/hr

Merge Labs is a frontier research lab with the mission of bridging biological and artificial ... About the role We need a Data-Scientist who can sit at the interface of Ultrasound, synthetic ...

MSD

Senior Data Scientist

South San Francisco, CA · On-site

D. in epidemiology, biostatistics, computational biology, bioinformatics, computer science ... Hybrid Shift: 1st - Day Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date ...

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

As of Aug 23, 2026, the average yearly pay for day 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 a Day Biology Data Scientist?

A Day Biology Data Scientist is a professional who specializes in analyzing and interpreting biological data, often collected during daytime experiments or fieldwork. They use computational tools, statistical methods, and machine learning techniques to extract insights from large datasets in fields such as genomics, proteomics, or ecology. Their work helps drive discoveries in biology by uncovering patterns and making data-driven predictions. Day Biology Data Scientists may collaborate with researchers, biologists, and other data professionals to design experiments and validate findings.

How does a Day Biology Data Scientist typically collaborate with laboratory researchers and other scientific teams?

As a Day Biology Data Scientist, collaboration with laboratory researchers and other scientific teams is integral to your role. You will frequently work alongside experimental biologists to design experiments, analyze large biological datasets, and interpret results to inform ongoing research. Regular meetings and interdisciplinary discussions are common, ensuring that data-driven insights are effectively communicated and translated into actionable steps for the team. This collaborative environment fosters creativity and accelerates scientific discovery, while also providing opportunities for you to expand your knowledge across multiple domains.

What are the key skills and qualifications needed to thrive as a Day Biology Data Scientist, and why are they important?

To excel as a Day Biology Data Scientist, a strong background in biology, statistics, and data analysis is essential, often supported by a degree in bioinformatics, computational biology, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with databases and bioinformatics software are typically required. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are crucial for deriving meaningful insights from biological datasets and driving advancements in research or product development.

What is the difference between Day Biology Data Scientist vs Molecular Biology Data Scientist?

AspectDay Biology Data ScientistMolecular Biology Data Scientist
Required CredentialsDegree in Biology, Data Science, or related field; proficiency in data analysis toolsDegree in Molecular Biology, Bioinformatics, or related field; strong coding skills
Work EnvironmentResearch labs, biotech companies, healthcare settingsResearch labs, pharmaceutical companies, biotech firms
Industry UsageApplied data analysis in biological research and healthcareGenetic and molecular data analysis in research and development

The Day Biology Data Scientist and Molecular Biology Data Scientist roles share similar educational backgrounds and work environments, focusing on biological data analysis. However, the Day Biology Data Scientist often emphasizes broader biological datasets, while the Molecular Biology Data Scientist specializes in genetic and molecular data. Both roles are vital in biotech and healthcare industries, with overlapping skills but different focus areas.

What cities are hiring for Day Biology Data Scientist jobs?

Cities with the most Day 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 Day Biology Data Scientist jobs?

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

Day Biology Data Scientist jobs near you

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted 7 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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