ZipRecruiter

Log In

1

Biotech Data Science Jobs in Colorado (NOW HIRING)

Strategic Employment

Data Privacy Attorney

Denver, CO · Hybrid

$150K - $210K/yr

You'll work with a wide range of clients in Software / SaaS, health sciences, tech, R&D, and more ... Experience with software, SaaS, biotech, or similar industries * Background in large corporations ...

Strategic Employment

Data Privacy Attorney

Denver, CO · Hybrid

$150K - $210K/yr

You'll work with a wide range of clients in Software / SaaS, health sciences, tech, R&D, and more ... biotech, or similar industries • Background in large corporations or national law firms

Aytu Biopharma Inc

Medical Science Liaison

Denver, CO · On-site

... relevant clinical data. * Serve as a liaison between Scientific Affairs and the commercial ... biotech, or medical device industry; 5-8 years of experience preferred. * Therapeutic area ...

University of Colorado

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

... biotechnology. Within the Gates Biomanufacturing Facility's dynamic environment, become a ... Minimum Qualifications: • Bachelor's degree in a scientific discipline or related field, or an ...

Inizio Engage

District Manager

Denver, CO · On-site

$109K - $202K/yr

This is your opportunity to join Inizio Engage, a top biotechnology company! Why You'll Love ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

Inizio

District Manager

Denver, CO · On-site

$109K - $202K/yr

This is your opportunity to join Inizio Engage, a top biotechnology company! Why You'll Love ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

next page

Showing results 1-20

All JobsBiotech Data Science JobsBiotech Data Science Jobs in Colorado

Biotech Data Science information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do biotech data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for biotech data science in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are popular job titles related to Biotech Data Science jobs in Colorado? For Biotech Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Colorado look for? The top searched job categories for Biotech Data Science jobs in Colorado are:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Colorado as of July 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Data Engineer (Databricks, AWS)

Computer Enterprises, Inc.

Almont, CO • On-site

$70 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

 

Title: Data Engineer (onsite)
Location: Raleigh, NC
Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.
Pay: $70-85/hour + optional medical, dental, vision, 401(k) match

Overview

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines and analytical solutions supporting Life Sciences Commercial Operations. This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony, DDD, NPA, Xponent, Claims, Specialty Pharmacy, and CRM/Sales data. The candidate will partner closely with Commercial Analytics, Data Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting.

Key Responsibilities
  • Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie-powered workflows.
  • Implement LLM-based automation and query generation using Databricks Genie for data exploration and business-user self-service.
  • Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.
  • Design and manage data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
  • Implement secure, scalable architectures following AWS best practices (IAM, VPC, encryption, monitoring).
  • Build distributed data transformation pipelines using PySpark for high-volume commercial datasets.
  • Optimize PySpark jobs for performance, cost efficiency, and reliability.
  • Implement unit testing, CI/CD, and code versioning using Git-based workflows.
  • Ingest, harmonize, and model datasets including IQVIA (Xponent, DDD, NPA, LAAD, NSP), Claims (medical, pharmacy), Specialty Pharmacy data feeds, Sales & CRM (Veeva, Salesforce), Roster, Territory, and Alignment datasets.
  • Build commercial data marts supporting sales reporting and dashboards, targeting and segmentation, incentive compensation, forecasting, and field performance insights.
  • Work with Commercial Analytics, Data Science, IT, and Business teams to translate requirements into scalable data solutions.
  • Ensure data quality, lineage, governance, and compliance with industry standards (HIPAA, GxP, SOC2).
Required Skills
  • 5–10+ years of experience in Data Engineering or Big Data Analytics.
  • Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow.
  • Advanced proficiency in PySpark, Python, SQL, and distributed computing.
  • Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
  • Proven experience working with Life Sciences Commercial datasets.
  • Strong understanding of data modeling, ETL/ELT, and cloud architecture.
  • Experience with CI/CD, Git, DevOps, and automated workflow orchestration.
  • Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets.
  • Ability to build scalable, high-performance data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work in fast-paced, cross-functional environments with high attention to data accuracy.
Required Education
  • No Education Requirements
Preferred Skills
  • Experience with Databricks Unity Catalog and Lakehouse architecture.
  • Familiarity with LLM-based automation or AI-assisted analytics.
  • Experience supporting Commercial Operations, Sales Leadership, and Field Teams.
  • Knowledge of incentive compensation methodologies and targeting algorithms.
  • Experience with BI tools (Tableau, Power BI, Qlik).
Why Should I Apply?

This role offers the opportunity to work on cutting-edge data solutions supporting Life Sciences Commercial Operations, with significant impact on sales insights and forecasting. Join a dynamic team leveraging advanced cloud and big data technologies to transform pharmaceutical data analytics.

About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers'' workforce and project requirements.

#ZR
#INDGEN

Apply