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Bioprocess Data Science Jobs (NOW HIRING)

Works on complex problems where analysis of situations or data requires an in-depth evaluation of ... Or PhD with 2 years of Industry experience in biological sciences or related field. 6 years of ...

Bioprocess Supervisor

Fort Dodge, IA ยท On-site

$36 - $49/hr

Own and report Tier 1 operational metrics, ensuring data is accurate, timely, and used to drive ... Essential Skills * Bachelor's degree in a scientific field such as Animal Science, Biology ...

Works on complex problems where analysis of situations or data requires an in-depth evaluation of ... Or PhD with 2 years of Industry experience in biological sciences or related field. * 6 years of ...

Apply data analysis and basic data science approaches (e.g., statistics, design of experiments) to ... Prior hands-on bioprocess development experience through academic lab or industry internship/co-op ...

Senior Bioprocess Engineer

New Haven, CT ยท On-site

$140K - $165K/yr

... scientists. What You'll Do Platform Architecture & Engineering * Own the end-to-end bioprocess ... data lake, and LIMS/ELN tooling. Reliability, Performance & Iteration * Rapidly prototype, test ...

... scientists. What You'll Do Platform Architecture & Engineering * Own the end-to-end bioprocess ... data lake, and LIMS/ELN tooling. Reliability, Performance & Iteration * Rapidly prototype, test ...

Senior Bioprocess Engineer

New Haven, CT ยท On-site

$140K - $165K/yr

... scientists. What You'll Do Platform Architecture & Engineering * Own the end-to-end bioprocess ... data lake, and LIMS/ELN tooling. Reliability, Performance & Iteration * Rapidly prototype, test ...

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Showing results 1-20

Bioprocess Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do bioprocess data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bioprocess data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Bioprocess Data Science vs Bioprocess Engineer?

AspectBioprocess Data ScienceBioprocess Engineer
Required CredentialsDegree in Data Science, Bioinformatics, or related fieldsDegree in Chemical, Biochemical, or Bioengineering
Work EnvironmentData analysis, modeling, software tools, collaborative teamsLaboratory, manufacturing facilities, process optimization
Industry UsageData-driven decision making, process modeling, analyticsProcess development, scale-up, manufacturing

Bioprocess Data Science focuses on analyzing biological data to optimize bioprocesses using computational tools, while Bioprocess Engineers design and operate biological manufacturing processes. Both roles are essential in biopharmaceutical industries but differ in their core activities and skill sets.

What is Bioprocess Data Science?

Bioprocess Data Science is a multidisciplinary field that uses data analysis, statistical modeling, and machine learning techniques to optimize and monitor bioprocesses in industries such as biotechnology and pharmaceuticals. Professionals in this field analyze large datasets generated during the production of biologics like vaccines, enzymes, and cell therapies, helping improve efficiency, quality, and yield. The role bridges biology, engineering, and data science to ensure bioprocesses are robust, scalable, and compliant with regulatory standards.

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

To thrive as a Bioprocess Data Scientist, you need a solid background in biotechnology, statistics, and data analysis, typically supported by a degree in bioengineering, data science, or a related field. Experience with programming languages such as Python or R, knowledge of bioprocessing software, and familiarity with data visualization tools are often required. Strong problem-solving abilities, communication skills, and the ability to collaborate across multidisciplinary teams set top candidates apart. These skills enable effective analysis and optimization of bioprocesses, driving innovation and efficiency in biomanufacturing environments.

What are some typical challenges faced by bioprocess data scientists when integrating data from laboratory and manufacturing systems?

Bioprocess data scientists often encounter challenges in integrating data from diverse sources such as laboratory information management systems (LIMS) and manufacturing execution systems (MES). Differences in data formats, inconsistent metadata, and incomplete records can make data harmonization complex. Overcoming these challenges typically requires close collaboration with IT, process engineers, and quality assurance teams, as well as proficiency in data wrangling and validation. Addressing these integration issues is crucial for ensuring data quality and enabling reliable process optimization and decision-making.
Infographic showing various Bioprocess Data Science job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Bioprocess Engineer

millenniumsoft

San Diego, CA โ€ข On-site

Full-time, Contractor

Posted 28 days ago


Job description

Job Title - Bioprocess Engineer
Location - San Diego, CA
Duration - 12+ Months Contract
Total Hours/week - 40.00
The work hours is 40 hr/week with 75% travel to San Jose CA
It is an onsite position.

Temp to Full Time possible.
3 must haves on the resume: Wet chemical bench experience, bioconjugation, 8+ years' experience after BS degree.
Description:
In-depth knowledge of product development, extensive experience in scale up, process improvements, validation and transfer of production processes to Operations. Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment in determining the scope and timing of transfer activities. Exercises judgement within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results.
Responsible for improving process efficiency and product quality. Determines methods and procedures on new assignments.
Duties And Responsibilities
Represents Reagent operations in new product teams as the core team member. With minimal supervision and assistance, transfers products and processes into manufacturing following the Global Product Development System
Develops strategies and carries out plans to stabilize and reduce production cost of new products
Generates manufacturing plan based on the product requirements and the anticipated manufacturing resources needed to produce and ship the new product.
Prepares and submits SOP's, WI's, BOM's, routings and standard costing for new product into SAP
Involved in providing floor support
Independently performing root cause analysis for product complaints through experiments involving flow cytometry/applications and production process evaluations including physical property or analytical data analysis.
Responsible for the timely documentation of the results and conclusions.
Evaluates failures, writes Variance Reports (VR's), presents recommendations to Material Review Board
Analyzes and solves complex and challenging problems in Production and Quality Control.
Provides support by providing flow cytometry expertise to experimental strategy, problem characterization, data acquisition and analysis.
Evaluates product history, recommends revisions to product specifications, originates Change Orders (CO's)
Extensive knowledge in product lines or manufacturing processes.
Identifies areas for improvements in product quality, process capability and production costs.
Applies Lean and Six Sigma practices into the development, scale up and setup of the manufacturing processes.
Design, writing and execution of Gage R&R, scale up, stability, and validation studies.
Design, Write and Implement all development activities and reports, validation protocols for manufacturing E&P.
Ensures validation of equipment and processes, evaluates data and writes reports, with minimal support.
Interfaces with Product Development, Research, Quality, Regulatory and Production to bring new technologies, methods, and tests into Manufacturing.
Evaluates technologies and processes for reliability, production capability, consistency, and cost effectiveness.
Makes recommendations for process improvements.
Assists and mentors fellow associates to develop skills and techniques.
Trains Chemists/Technicians in processes and procedures.
Keeps abreast of the basic requirements for compliance of their work.
Participates as required in training on regulatory issues affecting own area of work.
Brings regulatory compliance questions/issues to the attention of management.
Promotes a safe work environment.
May provide recommendations on maintaining the safety of the work environment.
Participates in Environmental Health and Safety programs.
Addresses corrective actions whenever a hazard is identified.
Notifies supervisor of all observed hazardous conditions or unsafe work practices
Minimum Qualifications
Education and Experience:

Requires a Bachelor degree with 7 years of experience; Or a Master's degree with 5 years of experience; Or PhD with 2 years of Industry experience in biological sciences or related field.
6 years of experience in FDA or ISO regulated production environment.
At least a one year of experience in managing a large or complex project.
Experience in statistical analysis, Six Sigma.
Technical expertise in molecular biology/antibody techniques, instrumentation, and assays performed
Project management experience
Experience in SAP/ related Enterprise management system.
Assets:
Biochemistry, Microparticles, Bioconjugation, Polymer, Organic Chemistry