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Flex Biotech Data Science Jobs in Rochester, NY (NOW HIRING)

New York State

Data Analyst 2 (OSIM)

Rochester, NY

$86K - $109K/yr

A master's degree in data or computer science, informatics, economics, statistics, mathematics, or ... and Flex Spending Accounts. Telecommuting may be discussed as part of the interview process. The ...

New

ERM

Consultant, Science/Engineering

Rochester, NY · On-site

$74K - $103K/yr

You'll be a key contributor to collecting data prior to field execution and construction management ... This role may be eligible for bonus pay (casual and fixed term/flex force employees are not bonus ...

Erm

Consultant, Science/Engineering

Rochester, NY · On-site

$74K - $103K/yr

You'll be a key contributor to collecting data prior to field execution and construction management ... This role may be eligible for bonus pay (casual and fixed term/flex force employees are not bonus ...

Varsity Tutors

Life Sciences Tutor

Rochester, NY · Remote

$40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

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Flex Biotech Data Science information

What are the key skills and qualifications needed to thrive as a Flex Biotech Data Scientist, and why are they important?

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

What is the highest paying biotech job?

In biotech, senior roles such as Director of Data Science or Chief Data Officer typically have the highest salaries, often exceeding $150,000 annually. These positions require advanced skills in data analysis, machine learning, and leadership, and they often involve overseeing large teams and strategic decision-making.

Is there a high demand for data scientists?

Data scientists, including roles like Flex Biotech Data Science, are in high demand across industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming tools like Python or R are highly sought after, and job growth for data science roles is expected to continue expanding in the coming years.

How do Flex Biotech Data Science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

What is a Flex Biotech Data Scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

Is 30 too late for data science?

Age is not a barrier to entering data science, including roles like Flex Biotech Data Scientist. Many professionals successfully transition into data science careers in their 30s and beyond by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through online courses or advanced degrees. Their background in biology can be valuable for data analysis in biotech and healthcare industries, but they need to develop expertise in data manipulation tools like Python, R, and SQL. Transitioning may also involve gaining experience with data visualization and working with large datasets.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

What are popular job titles related to Flex Biotech Data Science jobs in Rochester, NY? For Flex Biotech Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Flex Biotech Data Science jobs in Rochester, NY look for? The top searched job categories for Flex Biotech Data Science jobs in Rochester, NY are:
Flex Biotech Data Science jobs near you
Senior Product Manager -- Cell Culture Services & Asia Markets (onsite)

Senior Product Manager -- Cell Culture Services & Asia Markets (onsite)

Thermo Fisher Scientific

Rochester, NY • On-site

$124K - $164K/yr

Full-time

Posted 5 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 398 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers

Job description

Job Summary:
Thermo Fisher Scientific is a global leader in scientific solutions, and they are seeking a Senior Product Manager to lead the lifecycle of Cell Culture services. This role focuses on scientific workflows, digital innovation, and commercial strategy, driving the adoption of AI/ML-enabled capabilities across various markets.
Responsibilities:
• Own the full product lifecycle from market analysis and VOC through product definition, launch, and continuous optimization for Cell Culture Workflow Services and early AI/analytics capabilities.
• Define product vision, strategy, and multi-quarter roadmap; establish clear success metrics aligned to business objectives.
• Lead customer-facing VOC initiatives, develop relationships with key opinion leaders and pilot partners, and translate insights into actionable product requirements.
• Conduct market and competitive analysis; build financial models and forecasts to inform investment and commercial decisions.
• Lead pilots, proofs-of-concept, and early deployments of AI/ML-driven solutions; define KPIs, evaluate outcomes, and scale successful offerings.
• Partner cross-functionally with R&D, data science, regulatory, commercial, marketing, and services teams to deliver compliant, scalable solutions.
• Drive go-to-market execution, including product positioning, sales enablement, marketing collateral, and launch planning.
• Track and report on product KPIs (adoption, pilot conversion, revenue impact, customer satisfaction, forecast accuracy) and proactively manage risks.
• Coordinate releases and pilot activities across global sites, including Grand Island, Hunt Valley, and regional BDCs.
Qualifications:
Required:
• Advanced degree with five years of experience, or Bachelor’s degree with eight years of experience in product management, marketing, or related commercial roles in the life sciences industry.
• Demonstrated success managing complex product portfolios and scaling pilots into commercial offerings.
• Proven experience with product lifecycle management and stage-gate processes.
• Strong analytical and financial modeling skills for forecasting and business planning.
• Excellent written and verbal communication skills, including development of sales and marketing materials.
• Deep understanding of customer workflows and ability to translate insights into product requirements.
• Experience planning and executing product launches and marketing campaigns.
• Customer-centric mindset with a consultative approach to solution development.
• Willingness to travel up to 30% (2-3 times a year when needed) for customer engagement and site visits.
Preferred:
• Preferred industry experience in Life Sciences, Biotech, or Biopharma.
• Preferred field of study: Life Science, Chemistry or Business.
• Ability to speak Mandarin to support engagement with China-based customers and partners.
• Experience working with APJ markets, particularly China, within a commercial or product management capacity.
Company:
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services. Founded in 1956, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.

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