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Full Time Biotech Data Science Jobs (NOW HIRING)

Chewy

AD, Data Science

Bellevue, WA · On-site +1

$189K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Chewy

AD, Data Science

Bellevue, WA · On-site

$189K - $296K/yr

Associate Director, Data Science Bellevue, WA - Merchandising - Full time - R29785 What you'll do: * Combine deep understanding of machine learning, advanced data analysis, statistical testing, and ...

Norstella

Director, Data Science

Saint Paul, MN · Remote

Director, Data Science Company: Norstella Location: Remote, United States Date Posted ... May 18, 2026 Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites ...

Norstella

Director, Data Science

Dover, DE · Remote

Director, Data Science Company: Norstella Location: Remote, United States Date Posted ... May 18, 2026 Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites ...

BranchLab

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

Boulder, CO Reporting To : VP of Data Science & AI Job Type : Full-time, Hybrid in office Boulder, CO Work Authorization : Applicants must have legal authorization to work in the U.S. without the ...

Norstella

Director, Data Science

Olympia, WA · Remote

Director, Data Science Company: Norstella Location: Remote, United States Date Posted ... May 18, 2026 Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites ...

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Full Time Biotech Data Science information

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$37.5K

$122.7K

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How much do full time biotech data science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for full time biotech 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.

What are the key skills and qualifications needed to thrive as a Full Time Biotech Data Scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What is a Full Time Biotech Data Science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

More about Full Time Biotech Data Science jobs
What cities are hiring for Full Time Biotech Data Science jobs? Cities with the most Full Time Biotech Data Science job openings:
What are the most commonly searched types of Biotech Data Science jobs? The most popular types of Biotech Data Science jobs are:
What states have the most Full Time Biotech Data Science jobs? States with the most job openings for Full Time Biotech Data Science jobs include:
What job categories do people searching Full Time Biotech Data Science jobs look for? The top searched job categories for Full Time Biotech Data Science jobs are:
Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Posted 14 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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