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Vice President Roche Bioinformatics Jobs (NOW HIRING)

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ...

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Vice President Roche Bioinformatics information

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$43.5K

$157.5K

$277.5K

How much do vice president roche bioinformatics jobs pay per year?

As of Jun 25, 2026, the average yearly pay for vice president roche bioinformatics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a Vice President of Bioinformatics at Roche do?

A Vice President of Bioinformatics at Roche oversees the strategic direction and operations of the bioinformatics division, integrating computational and analytical approaches to support drug discovery, diagnostics, and personalized medicine. They lead teams of scientists and engineers, manage collaborations between research and clinical teams, and ensure that data-driven insights align with Roche’s business objectives. Their role also involves staying current with technological advancements, shaping data governance policies, and driving innovation in genomics, proteomics, and other omics fields.

What are the main challenges faced by a Vice President of Bioinformatics at Roche, and how can candidates prepare to address them?

A Vice President of Bioinformatics at Roche is often tasked with leading multidisciplinary teams, integrating complex data pipelines, and aligning bioinformatics initiatives with broader business and research goals. One of the main challenges is staying ahead of rapid technological advances while ensuring data security and regulatory compliance. Candidates should be prepared to navigate cross-functional collaboration, manage large-scale projects, and foster innovation in a highly regulated environment. Building strong leadership skills, staying current with bioinformatics trends, and demonstrating strategic vision are important for success in this role.

What is the difference between Vice President Roche Bioinformatics vs Director Roche Bioinformatics?

AspectVice President Roche BioinformaticsDirector Roche Bioinformatics
CredentialsAdvanced degrees (PhD/MSc), extensive industry experienceMaster's or PhD, significant experience in bioinformatics
Work EnvironmentStrategic leadership, cross-departmental collaborationTeam management, project oversight
Employer & Industry UsageExecutive role in biotech/pharma companiesSenior management in biotech/pharma firms
Search & Comparison IntentHigh-level strategic responsibilitiesOperational and project management focus

The Vice President Roche Bioinformatics typically holds a higher strategic leadership role with broader responsibilities, overseeing multiple teams and setting company-wide bioinformatics strategies. The Director Roche Bioinformatics focuses more on managing teams and projects directly involved in bioinformatics research and development. Both roles require advanced degrees and industry experience, but the VP position emphasizes executive decision-making and cross-functional leadership.

What are the key skills and qualifications needed to thrive as a Vice President of Bioinformatics at Roche, and why are they important?

To thrive as a Vice President of Bioinformatics at Roche, you need advanced expertise in bioinformatics, genomics, and data science, supported by a PhD or equivalent experience in computational biology or related fields. Familiarity with high-throughput sequencing platforms, cloud computing, and regulatory-compliant data management systems is typically required. Leadership, strategic vision, and the ability to communicate complex technical concepts to diverse stakeholders are standout soft skills. These competencies are crucial for driving innovation, ensuring scientific rigor, and aligning bioinformatics initiatives with Roche's business and research objectives.
What cities are hiring for Vice President Roche Bioinformatics jobs? Cities with the most Vice President Roche Bioinformatics job openings:
What are the most commonly searched types of Roche Bioinformatics jobs? The most popular types of Roche Bioinformatics jobs are:
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Vice President Roche Bioinformatics jobs near you
Infographic showing various Vice President Roche Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Sr Engineer II, Machine Learning

Sr Engineer II, Machine Learning

Element Biosciences

San Diego, CA • On-site

$139K - $183K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Job description

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
We are seeking a highly skilled and motivated Senior Engineer II, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego.
If you possess the following and want to make a meaningful impact, we invite you to explore this role.
Essential Functions and Responsibilities:
  • Analyze and interpret multiomic and single-cell data to derive meaningful insights
  • Develop and implement machine learning models to support various research projects
  • Apply advanced image processing techniques to analyze biological images
  • Collaborate with cross-functional teams to design and execute experiments
  • Explore and analyze large datasets to identify patterns and trends
  • Communicate findings and insights to stakeholders through reports and presentations
  • Stay updated with the latest advancements in data science, machine learning, and biotechnology

Education and Experience:
  • Master's degree in Data Science, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience
  • Expertise in data science and machine learning techniques is a plus
  • Proficiency in working with multiomic and single-cell data is a plus
  • Experience with advanced image processing techniques is a plus
  • Strong background in statistics is a plus
  • Proficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant tools
  • Experience with cloud computing platforms (e.g., AWS)
  • Familiarity with bioinformatics tools and databases
  • Knowledge of experimental design and statistical analysis
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills

Physical Requirements:
  • Frequently moves boxes weighing up to 20 pounds

Location:
  • San Diego - on-site

Travel:
  • Domestic travel up to 10%

Job Type:
  • Full-time/Exempt

Base Compensation Pay Range:
  • $139,500 - $183,500

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off.
Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.
We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

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