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Data Scientist Biochemistry Jobs (NOW HIRING)

Iff

Senior Scientist, Biochemistry

Palo Alto, CA

$107K - $146K/yr

Generate technical data and provide bioanalytical and applications support for research and product ... Biochemical Engineering, Chemical Engineering, Chemistry, or a related scientific discipline.

Filtrous

Application Scientist (Biochemistry)

Poway, CA · On-site

$36 - $45.25/hr

Application Scientist (Biochemistry) Turn Breakthrough Science into Real-World Solutions Why This ... performance data Why You'll Love It Here At Filtrous, you're not buried in a corporate R&D lab ...

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

The Data Scientist is expected to prototype and design to the goals of functionality and ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ...

DiaSorin

Clinical Data Scientist

Austin, TX · On-site

D. (preferred) in Molecular Biology / Biochemistry or related discipline, with experience in a ... data analysis. * Experience in searching through and understanding scientific and regulatory ...

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All JobsData Scientist Biochemistry Jobs

Data Scientist Biochemistry information

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$37.5K

$122.7K

$196.5K

How much do data scientist biochemistry jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data scientist biochemistry 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.

How does a Data Scientist in Biochemistry typically collaborate with laboratory researchers and other scientific teams?

As a Data Scientist in Biochemistry, you'll frequently work alongside laboratory researchers, chemists, and biologists to interpret experimental results and develop data-driven insights. Collaboration often involves translating complex biological questions into computational problems, analyzing large datasets from experiments, and communicating findings in a way that supports ongoing research. Effective teamwork and clear communication are crucial, as you'll help bridge the gap between experimental science and analytical modeling, ensuring that data analyses are aligned with scientific objectives.

Is 30 too late for data science?

For a Data Scientist in biochemistry, starting a career at age 30 is feasible, especially with relevant skills such as programming, statistical analysis, and domain knowledge. Many professionals transition into data science later in life, and employers value experience and expertise. Continuous learning through online courses and certifications can enhance job prospects regardless of age.

Can a biochemist become a data scientist?

A biochemist can become a data scientist by acquiring skills in programming, statistics, and data analysis tools such as Python, R, and SQL. Transitioning often involves additional training or education in data science concepts and machine learning techniques, which are applicable across various scientific fields including biochemistry.

What is the highest paid job in biochemistry?

In biochemistry, the highest paid roles are often senior research directors, biotech executives, or pharmaceutical R&D leaders, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and strong leadership skills, often complemented by expertise in data analysis and laboratory management.

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

To thrive as a Data Scientist in Biochemistry, you need a strong background in biochemistry or molecular biology, advanced statistical analysis, and programming skills (often with a master's or Ph.D. in a related field). Familiarity with tools such as Python, R, machine learning frameworks, and bioinformatics databases is typically required, along with experience using laboratory data management systems. Exceptional problem-solving, critical thinking, and communication skills set candidates apart, enabling them to interpret complex biological data and collaborate across scientific teams. These skills are crucial for transforming raw biochemical data into actionable insights that drive research and innovation in life sciences.

What does a Data Scientist in Biochemistry do?

A Data Scientist in Biochemistry applies data analysis, machine learning, and statistical techniques to large sets of biochemical data. They work with experimental results, genomic sequences, protein structures, and other biological datasets to uncover patterns, make predictions, and support scientific discoveries. Their work often involves collaboration with biochemists to design experiments, interpret results, and contribute to advancements in areas like drug discovery and understanding disease mechanisms.

What is the difference between Data Scientist Biochemistry vs Data Analyst Biochemistry?

AspectData Scientist BiochemistryData Analyst Biochemistry
Required CredentialsDegree in Biochemistry, Data Science, or related fields; proficiency in programming and statistical toolsDegree in Biochemistry, Life Sciences, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms, often involving complex data modelingLaboratories, research institutions, healthcare settings, focusing on data reporting and visualization
Employer & Industry UsageUsed in biotech, pharma, research institutions for advanced data modeling and predictive analyticsCommon in healthcare, research labs for data reporting, trend analysis, and basic statistical tasks

While both roles require a background in biochemistry, Data Scientist Biochemistry focuses on advanced data modeling, machine learning, and predictive analytics, often requiring programming skills. Data Analysts Biochemistry primarily handle data reporting, visualization, and basic statistical analysis. The roles differ mainly in complexity and technical expertise, but both are vital in biotech and healthcare industries.

What is the 80 20 rule in data science?

In data science, including roles like a biochemistry data scientist, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or data. This principle helps prioritize features, data cleaning, and analysis focus to improve model performance efficiently.
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Data Scientist Biochemistry jobs near you
Principal scientist - biochemistry

Principal scientist - biochemistry

Allorion Therapeutics

Natick, MA • On-site

Full-time

Posted 20 days ago

Job description

Natick, Massachusetts
Position closed
Allorion therapeutics is seeking an experienced scientist to join our Biochemistry department to lead our small molecule drug discovery efforts. The successful candidate will play a key role in planning and executing hit finding strategies. He/she must be highly skilled in biochemical and biophysical assay development and mechanistic enzymology. The candidate will work closely with colleagues across different disciplines to support and expand Allorion drug discovery portfolio.
Responsibilities
  • Contribute to experimental design and development of biochemical and biophysical assays to characterize enzymes
  • Lead hit finding efforts to enable hit discovery and understand mechanism of small molecule modulation
  • Evaluate new technologies and vendors to expand drug discovery capability
  • Work closely with external research organizations to generate quality data within timeline
  • Assess and interpret data to make data-driven decisions and regularly present to scientific, project and leadership teams
  • Collaborate with chemistry and biology colleagues to validate compound data, drive mechanistic understanding of small molecule hits and guide hit to lead and lead optimization activities
  • Create a learning environment for open discussion and suggestions. Foster a team culture of ownership and ensure recognition of team achievements

Required Skills
  • Ph.D. in Enzymology, Biochemistry, Molecular Biology, or related field, plus over 10 years of laboratory experiences in small molecule drug discovery
  • Expertise in in vitro biochemical and biophysical assay design and development. Familiar with variety of detection technology including FRET, FP, fluorescence, luminescence, etc.
  • Experience in high throughput screening desired
  • Expert knowledge of enzymology
  • Strong organization and planning skills
  • Excellent written and verbal communication skills. Must be able to clearly present complex enzymatic reactions to others in both formal and informal settings
  • Experience working with external research organizations strongly desired
  • Experience with protein engineering and purification desired
  • Ability to work independently as well as to collaborate with peers

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