ZipRecruiter

Log In

1

Overnight 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 ...

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 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 ...

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 ...

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 ...

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 ...

GondolaBio

Senior Biological Data Scientist

$155K - $205K/yr

... data can answer challenging scientific questions, generate therapeutic hypotheses, and advance ... PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline with ...

Merge

$140 - $230/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 ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of ...

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$140 - $230/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 ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Our technology powers scientists around the world, translating AI capabilities into tools that ... The data that trains biological frontier models comes in dozens of modalities-sequences, images ...

next page

Showing results 1-20

All Jobsovernight JobsOvernight Biology Data Scientist Jobs

Overnight Biology Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 5, 2026, the average yearly pay for overnight 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 an overnight biology data scientist?

An Overnight Biology Data Scientist is a professional who analyzes biological data, such as genetic or clinical datasets, during overnight shifts. These scientists apply data science techniques, including statistics and machine learning, to interpret complex biological information and support research, healthcare, or pharmaceutical projects. Working overnight is often required in organizations that operate around the clock, such as hospitals, research labs, or companies with international teams. Their work helps accelerate discoveries and ensures data processing continues outside of regular business hours.

What are the key skills and qualifications needed to thrive as an overnight biology data scientist?

To thrive as an Overnight Biology Data Scientist, you need expertise in biological data analysis, statistical modeling, and a relevant degree in biology, bioinformatics, or a related field. Familiarity with programming languages like Python or R, bioinformatics tools, and experience with large datasets and databases are typically required. Strong problem-solving, attention to detail, and effective communication skills make someone stand out in this role. These competencies are essential for accurately interpreting complex biological data and delivering valuable insights in time-sensitive, independent working environments.

What are some unique challenges faced by overnight biology data scientists, and how can they be managed effectively?

Overnight Biology Data Scientists often work outside regular business hours, which can present challenges such as limited real-time collaboration with colleagues and adjusting to non-traditional sleep schedules. To manage these challenges, it's important to establish clear communication protocols with day-shift teams, maintain thorough documentation for project continuity, and prioritize self-care to ensure sustained productivity. Utilizing collaborative tools and scheduling overlap meetings when possible can also help bridge gaps and support smooth workflow transitions.

What is the difference between Overnight Biology Data Scientist vs Night Biology Data Analyst?

AspectOvernight Biology Data ScientistNight Biology Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in biology, data science, or related fieldUsually holds a bachelor's or master's in biology, data analysis, or related field
Work EnvironmentResearch labs, biotech companies, or pharmaceutical firms working overnight shiftsLaboratories, research centers, or healthcare facilities during night hours
Employer & Industry UsageBiotech, pharmaceutical, or research institutions with 24/7 operationsHealthcare, research, or biotech firms with night shift roles

The Overnight Biology Data Scientist and Night Biology Data Analyst roles both involve analyzing biological data, but the scientist typically requires advanced degrees and focuses on complex data modeling, while the analyst may have a more applied focus with less emphasis on advanced credentials. Both roles operate during night shifts in similar industry settings, but the scientist's work often involves more research and development tasks.

What cities are hiring for Overnight Biology Data Scientist jobs?

Cities with the most Overnight 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 Overnight Biology Data Scientist jobs?

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

Overnight Biology Data Scientist jobs near you

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted 20 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.

#Li-JR1

#Li-Hybrid

Apply