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Pharma Data Analyst Jobs in Utah (NOW HIRING)

Client Partner, Pharma

Salt Lake City, UT · On-site

$160K - $180K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Excellent communication, presentation and analytical skills. * Experience with Google suite of ...

Review completed swab data and perform subsequent room/equipment release. * Ensures compliance with all Company policies and procedures, including safety rules and regulations. * Performs related ...

Sr. Automation Engineer

Salt Lake City, UT · On-site

$100K - $132K/yr

Excellent analytical and problem-solving skills. * Demonstrated business acumen and successful ... Networking and automatic data acquisition. * Hands on experience with the following but not limited ...

Sr. Automation Engineer

Salt Lake City, UT · On-site

$100K - $132K/yr

Excellent analytical and problem-solving skills. * Demonstrated business acumen and successful ... Networking and automatic data acquisition. * Hands on experience with the following but not limited ...

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Showing results 1-20

Pharma Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do pharma data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for pharma data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

What are the key skills and qualifications needed to thrive as a Pharma Data Analyst?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

How to become a pharmaceutical data analyst?

To become a pharmaceutical data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as SQL, Excel, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What are the most commonly searched types of Pharma Data Analyst jobs in Utah?

The most popular types of Pharma Data Analyst jobs in Utah are:

What are popular job titles related to Pharma Data Analyst jobs in Utah?

For Pharma Data Analyst jobs in Utah, the most frequently searched job titles are:

Infographic showing various Pharma Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Associate Director, Computational Biology - Early Discovery

Menlo Ventures

Salt Lake City, UT • On-site

$200.60 - $220.50/hr

Other

Posted 18 days ago


Job description

Your work will change lives. Including your own.

The Impact You’ll Make

As an Associate Director within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world‑class computational biologists focused on identifying and advancing the next generation of oncology targets and therapeutics to fill our internal pipeline. You will act as a “player‑coach,” balancing direct technical contribution with the mentorship and strategic leadership of a high‑performing team. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics—to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full‑fledged drug discovery programs.

This highly collaborative role partners with biologists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery in oncology and immunological diseases. The ideal candidate has strong stakeholder management, technical communication, and 3+ years biotech or pharma experience in early drug discovery.

In this role, you will:

  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in disease biology.
  • Lead and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, delivery, and continuous professional growth.
  • Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades.
  • Define internal criteria for target data packages and early patient population strategy.
  • Connect your team’s innovative analysis methods to platform and engineering teams so that we solve current projects and accelerate future ones.
  • Collaborate cross‑functionally: Partner with biologists, medicinal chemists, translational, and clinical leads to build compelling data packages that drive program milestones and portfolio investment decisions.
  • Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You’ll Join

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I, and neuroscience, and we focus on advancing novel, targeted therapies for these disease areas. We partner closely with other functions to design and execute impactful data analyses for new targets and drug programs and are responsible for data strategy across the portfolio.

The Experience You’ll Need

  • PhD in a relevant field (computational biology, bioinformatics, cancer biology, immuno‑oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry, OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery.
  • Domain expertise in oncology or immunological diseases.
  • Strong understanding of patient genetics and druggability of disease‑relevant pathways.
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high‑level programming language such as Python or R.
  • Exceptional data visualization skills.
  • A track record of managing and developing direct reports within a scientific or technical environment.
  • Excellent cross‑functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations.

Nice To Have:

  • Experience building a target discovery engine in oncology or immunological diseases.
  • Experience designing high‑throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses.
  • Previous exposure to translational and/or clinical development programs to guide selection of relevant models for target validation experiments.

Working Location & Compensation:

This is an office‑based, hybrid position at our US headquarters located in Salt Lake City, Utah. Employees are expected to work in the office at least 50% of the time.

Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

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