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Data Science Pharma Jobs in Colorado (NOW HIRING)

Track and manage candidate pipelines & requisitions , ensuring data is accurate and progress aligns ... AEC and/or life sciences/pharma recruiting experience highly preferred * Experience managing ...

Track and manage candidate pipelines & requisitions , ensuring data is accurate and progress aligns ... AEC and/or life sciences/pharma recruiting experience highly preferred * Experience managing ...

Client Partner, Pharma

Denver, CO ยท On-site

$160K - $180K/yr

Qualifications of the Role * 10+ years of relevant experience in Enterprise sales or business development, in life sciences, focused on SaaS, Real World Data, or services. * Deep understanding of ...

Senior Life Sciences Consultant

Englewood, CO ยท On-site

$88K - $155K/yr

... science strategy consulting required. * Life sciences strategy consulting experience across more than one sector such as pharma, biotech, medical devices, and MedTech is required. * Advance ...

Showing results 21-40

Data Science Pharma information

What is data science in the pharmaceutical industry?

Data science in the pharmaceutical industry involves using advanced analytics, machine learning, and statistical methods to analyze complex data sets related to drug discovery, clinical trials, and patient outcomes. Data scientists in pharma help accelerate drug development, optimize clinical study designs, and identify new therapeutic targets by extracting meaningful insights from large volumes of biological and medical data. Their work improves decision-making, reduces costs, and ultimately leads to more effective treatments for patients.

What does a data science pharma do?

A data science professional in the pharmaceutical industry analyzes large datasets to identify patterns, support drug development, and improve patient outcomes. They use statistical methods, machine learning, and data visualization tools to inform decision-making and optimize research processes.

What is the difference between Data Science Pharma vs Data Analyst Pharma?

AspectData Science PharmaData Analyst Pharma
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentDeveloping predictive models, machine learning, advanced analytics in pharmaceutical R&D and marketingData reporting, visualization, and basic analysis to support decision-making in pharma companies
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare analytics providersPharmaceutical companies, healthcare organizations, research institutions

Data Science Pharma professionals focus on advanced analytics, machine learning, and predictive modeling to drive innovation in pharma. Data Analysts Pharma handle data reporting and basic analysis to support operational decisions. Both roles are essential but differ in complexity and technical requirements.

How does a data scientist in the pharmaceutical industry typically collaborate with cross-functional teams during drug development projects?

Data scientists in pharma regularly work alongside clinical researchers, biostatisticians, regulatory specialists, and product managers to analyze complex datasets from clinical trials and real-world evidence. They translate data-driven insights into actionable recommendations that guide decision-making throughout the drug development pipeline. Effective communication and teamwork are essential, as data scientists must both understand scientific objectives and explain analytical findings to colleagues from diverse backgrounds. This collaborative environment fosters innovation and ensures that data-driven approaches contribute meaningfully to advancing new therapies.

Do pharmacy companies hire data scientists?

Yes, pharmacy companies often hire data scientists to analyze clinical data, optimize drug development, and improve patient outcomes. These roles typically require skills in statistical analysis, machine learning, and programming tools like Python or R, and may involve working with large healthcare datasets in a regulated environment.

What are the key skills and qualifications needed to thrive as a data scientist in the pharmaceutical industry, and why are they important?

To thrive as a Data Scientist in pharma, you need a strong background in statistics, machine learning, and domain knowledge in biology or chemistry, usually backed by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, and experience with clinical trial data systems or bioinformatics platforms is commonly required. Strong analytical thinking, collaboration, and the ability to communicate complex data insights to multidisciplinary teams are vital soft skills. These capabilities are crucial for extracting meaningful insights from complex biomedical data, supporting evidence-based decision-making, and driving innovation in drug development.
What are popular job titles related to Data Science Pharma jobs in Colorado? For Data Science Pharma jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Data Science Pharma job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Forward Deployed Engineer (Hybrid, USA)

Unit8 SA

Denver, CO โ€ข On-site

$140K - $220K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting, renowned for solving complex challenges in traditional industries such as automotive, chemical, financial services, manufacturing, and pharma. Our esteemed partnerships with industry giants like Palantir, NVIDIA, and OpenAI underscore our commitment to excellence. With over 200 successful projects and a team of 150+ talented professionals across Switzerland, Poland, and Germany, we are now expanding our footprint to the USA.

Unit8 is dedicated to driving AI adoption in non-digital industries, accelerating their digital transformation. We invest in projects that matter, including pro-bono initiatives and "engineering for good" causes.

Requirements

About You

Following our remarkable growth in Switzerland, Poland, and Germany, Unit8 is expanding into the US market. We are seeking a Senior Forward Deployed Engineer who will work directly with customers, owning delivery strategy and implementation.

What You'll do

As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure. You will work on cutting-edge data and AI topics to solve real-world business problems for our clients.

Your responsibilities will include:

  • Developing, deploying, and troubleshooting complex data pipelines and processing systems using a variety of open-source and closed-source technologies, with a strong focus on Foundry.
  • Driving optimization, testing, and tooling to ensure exceptional data quality.
  • Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment.
  • Working in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
What You Bring

The Experience

  • Deep Domain Expertise: Minimum 5 years of experience in software/data engineering or data science. You have deep expertise in at least one key domain (Data Engineering, Data Science, Cloud Engineering, or GenAI).
  • Commercial Fluency: proven experience in pre-sales, proposal design, or technical advisory where you influenced executive decision-making.
  • GenAI/LLM Context: For relevant tracks, you have past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem Decomposition).
  • Nice to have: extensive experience in data-related consulting, working on data strategy, architecture design and implementation of large-scale data solutions following client's requirements

The Mindset

  • You have an engineering mindset focused on delivering working solutions. You prioritize solving real business problems over theoretical perfection or academic benchmarks. You are an impact-driven problem solver eager to dive into complex client challenges, craft solutions, and see the direct impact of your work on their success.
  • You are comfortable working in a dynamic environment with evolving objectives. You can collaborate efficiently with both technical engineers and non-technical business stakeholders up to C-level.
  • You feel a sense of ownership over the company’s technical reputation and are eager to train those coming up behind you.

The Essentials

  • Experience with programming/scripting, such as Python and/or PySpark.
  • Proficiency in Palantir Foundry (nice-to-have)
  • Strong foundation in Computer Science, Mathematics, Physics, or related engineering fields.
  • Willingness to travel (min. 10%) to client sites to drive implementation success and build relationships.
  • A desire to drive thought leadership (LinkedIn, Blogs) and willingness to be a part of our newly opened US office and expansion of our strategy and brand.
  • Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset.

Location: perfectly you're currently located in Denver Colorado; Charlotte, North Carolina or Miami, Florida (or willing to relocate).

Benefits

What we offer?

  • High-Stakes Work: You will work on critical projects that transform how major industries operate.
  • A "Builder" Culture: We are not a slide-deck consultancy. We build things that work. You will be surrounded by engineers and data scientists who share your passion for execution.
  • Pioneering role and autonomy: As a key member of our US growth, you will have the freedom to shape how we deliver value in this new market.
  • Groundbreaking Opportunity: You will play a pivotal role in establishing Unit8's footprint in the USA, driving the growth and impact of our operations in this emerging market.
  • Rewarding Package: The estimated base salary range for this position is $140,000 – $220,000. In addition to base pay, total compensation includes an annual bonus based on individual and company performance. We also offer a 401(k) retirement plan and comprehensive health insurance. Final compensation will be determined based on the candidate’s qualifications, experience, and skills.

Unit8 is committed to creating a diverse and inclusive workplace where all individuals are valued and respected. We believe that diversity drives innovation and enhances our ability to serve our clients effectively. As an equal opportunity employer, we welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering an environment where everyone can thrive and contribute to our mission.

We look forward to hearing from you!