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Biotech Data Science Jobs in Michigan (NOW HIRING)

Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healt ... Strong working knowledge of data structures and database design * Knowledge of how to use ...

Knowledge of Biostatistics, Statistical Programming, Data Management and Data Science services ... Biotech clients globally. With our patients at the centre of all that we do, we help to accelerate ...

Life Sciences Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

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

Life Sciences Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

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

Life Sciences Tutor

Detroit, MI · Remote

$18 - $40/hr

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

We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across ...

We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across ...

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Biotech Data Science information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do biotech data science jobs pay per year?

As of Jul 10, 2026, the average yearly pay for biotech data science in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in the Biotech Data Science position, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

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 additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in Michigan? The most popular types of Biotech Data Science jobs in Michigan are:
What job categories do people searching Biotech Data Science jobs in Michigan look for? The top searched job categories for Biotech Data Science jobs in Michigan are:
M&A Data Analytics Manager - LSHC

M&A Data Analytics Manager - LSHC

Deloitte

Detroit, MI • On-site

Other

Medical, Vision, Life

Posted 18 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

This role will focus on transactions within the Life Sciences & Health Care (LSHC) sector, including medical devices, pharmaceuticals, CRO/CDMO, distribution, healthcare providers, payors, and healthtech.

Recruiting for this role ends on 07/27/2026


Work you'll do:

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for a given M&A deal.

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction within the Life Sciences & Health Care sector.

  • Coordinate with client business and IT personnel to identify, collect and validate transactional and operational data within highly regulated environments
  • Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models
  • Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses
  • Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights
  • Analyze financial & key performance indicator deal data for trends and outliers
  • Directly advise clients

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement.

  • You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle.

Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process in environments with complex pricing, reimbursement, regulatory, and supply chain considerations.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar
  • Minimum 5 years of experience analyzing large datasets
  • Experience analyzing or managing accounting, financial or transactional data
  • Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healthcare services, or other regulated industries
  • Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Understanding of revenue models common to life sciences and healthcare, including distributor models, government and GPO contracts, capitation and membership, and reimbursement dynamics
  • Demonstrated knowledge of business analytics and relational database concepts
  • Experience leveraging AI tools to extract and visualize insights from large data sets
  • Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.)
  • Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.)
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred:

  • Prior experience at a large or mid-size consulting firm focused on finance or accounting services
  • Experience in healthcare or life sciences transactions
  • Minimum of 2+ years of experience managing teams in a consulting environment
  • Strong working knowledge of data structures and database design 
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages
  • Experience presenting recommendations to senior executive stakeholders
  • Master of Business Administration or similar degree
  • CPA, CA certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 to $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

This role will focus on transactions within the Life Sciences & Health Care (LSHC) sector, including medical devices, pharmaceuticals, CRO/CDMO, distribution, healthcare providers, payors, and healthtech.

Recruiting for this role ends on 07/27/2026


Work you'll do:

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for a given M&A deal.

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance.

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction within the Life Sciences & Health Care sector.

  • Coordinate with client business and IT personnel to identify, collect and validate transactional and operational data within highly regulated environments
  • Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models
  • Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses
  • Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights
  • Analyze financial & key performance indicator deal data for trends and outliers
  • Directly advise clients

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement.

  • You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle.

Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process in environments with complex pricing, reimbursement, regulatory, and supply chain considerations.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar
  • Minimum 5 years of experience analyzing large datasets
  • Experience analyzing or managing accounting, financial or transactional data
  • Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healthcare services, or other regulated industries
  • Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Understanding of revenue models common to life sciences and healthcare, including distributor models, government and GPO contracts, capitation and membership, and reimbursement dynamics
  • Demonstrated knowledge of business analytics and relational database concepts
  • Experience leveraging AI tools to extract and visualize insights from large data sets
  • Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.)
  • Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.)
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred:

  • Prior experience at a large or mid-size consulting firm focused on finance or accounting services
  • Experience in healthcare or life sciences transactions
  • Minimum of 2+ years of experience managing teams in a consulting environment
  • Strong working knowledge of data structures and database design 
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages
  • Experience presenting recommendations to senior executive stakeholders
  • Master of Business Administration or similar degree
  • CPA, CA certification

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to sk...


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