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Data Scientist Biotech Jobs in Colorado (NOW HIRING)

... Biotechnology preferred - Prior consulting or advisory firm experience preferred - Contributing to commercial analytics product development - Familiarity with NCQA HEDIS specifications and CMS Star ...

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 ...

... biotechnology? At Integrated DNA Technologies (IDT), one of Danaher's 15+ operating companies, our ... NGS data analysis * Foundational knowledge of human genetics, cancer biology, and statistics

Staff Scientist

Boulder, CO · On-site

$120K - $140K/yr

... biotechnology? At Integrated DNA Technologies (IDT), one of Danaher's 15+ operating companies, our ... NGS data analysis * Foundational knowledge of human genetics, cancer biology, and statistics

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

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

... biotechnology. Within the Gates Biomanufacturing Facility's dynamic environment, become a ... Bachelor's degree in a scientific discipline or related field, or an equivalent combination of ...

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 ...

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Showing results 1-20

Data Scientist Biotech information

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

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.

What cities in Colorado are hiring for Data Scientist Biotech jobs?

Cities in Colorado with the most Data Scientist Biotech job openings:

Infographic showing various Data Scientist Biotech job openings in Colorado as of August 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.

Payer Healthcare Data Scientist, Manager

Pwc

Denver, CO • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining exemplary standards. This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare.
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
What Sets You Apart
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

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We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK