1

Phd In Biotechnology Jobs in Utah (NOW HIRING)

Phd In Biotechnology information

See Utah salary details

$14

$26

$35

How much do phd in biotechnology jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for phd in biotechnology in Utah is $26.81, according to ZipRecruiter salary data. Most workers in this role earn between $23.17 and $30.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Biotechnology, and why are they important?

To thrive as a PhD in Biotechnology, you need advanced knowledge in molecular biology, genetics, and bioengineering, supported by a doctoral degree in biotechnology or a related field. Proficiency with laboratory techniques, data analysis software, and research methodologies, as well as familiarity with tools like CRISPR and next-generation sequencing, is essential. Strong critical thinking, problem-solving abilities, and effective communication skills help you lead research projects and collaborate across multidisciplinary teams. These skills and qualities are crucial for driving innovation, ensuring research quality, and translating findings into real-world applications.

What types of career advancement opportunities can I expect after completing a PhD in Biotechnology?

After earning a PhD in Biotechnology, you can pursue various advancement paths depending on your interests and expertise. Many graduates transition into senior research roles in academia or industry, often leading research teams or projects. Others move into specialized areas such as regulatory affairs, intellectual property, or business development within biotech companies. Teaching positions at universities or roles in government agencies and policy organizations are also common. Networking, publishing research, and gaining experience in interdisciplinary projects can further enhance your advancement prospects.

What is a PhD in Biotechnology?

A PhD in Biotechnology is a doctoral-level degree focused on advanced research in the application of biological systems and organisms to develop products and processes for various industries. Students in this program engage in original research, often in areas like genetics, molecular biology, pharmaceuticals, and environmental biotechnology. The program typically involves coursework, laboratory work, and the completion of a dissertation. Graduates are prepared for careers in academia, research institutions, biotechnology companies, and regulatory agencies. Earning a PhD in this field demonstrates expertise and the ability to contribute to scientific innovation.

What is the difference between Phd In Biotechnology vs Biotech Research Scientist?

AspectPhd In BiotechnologyBiotech Research Scientist
Required CredentialsDoctorate in Biotechnology or related fieldTypically a Master's or PhD in Biotechnology or related field
Work EnvironmentAcademic, research institutions, or industry R&D labsIndustry laboratories, biotech companies, research institutions
Employer & Industry UsageUniversities, research institutes, biotech firmsBiotech and pharmaceutical companies, research organizations
Common Search & Comparison IntentUnderstanding academic vs industry roles in biotechCareer paths and qualifications in biotech research

While a Phd In Biotechnology is a research-focused degree preparing individuals for academic or advanced industry roles, a Biotech Research Scientist is a professional role within biotech companies or labs. Both require strong research skills, but the PhD emphasizes academic research, whereas the Research Scientist applies those skills in industry settings.

What are popular job titles related to Phd In Biotechnology jobs in Utah? For Phd In Biotechnology jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Phd In Biotechnology jobs in Utah look for? The top searched job categories for Phd In Biotechnology jobs in Utah are:
Infographic showing various Phd In Biotechnology job openings in Utah as of July 2026, with employment types broken down into 40% Locum Tenens, 2% Internship, 44% Full Time, 8% Part Time, 1% Contract, and 5% Summer. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $55,756 per year, or $26.8 per hour.
Associate Director, Computational Biology - Early Discovery

Associate Director, Computational Biology - Early Discovery

Recursion

Salt Lake City, UT

$200K - $220K/yr

Other

Posted 15 days ago


Job description

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 is a highly collaborative role: you will partner 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 the current project 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 the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), 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 and decisional 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.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $200,000-$220,500. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

#LI-EP1