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Biotech Data Management Jobs in Indiana (NOW HIRING)

... biotechnology? At Beckman Coulter Life Sciences, one of Danaher's 15+ operating companies, our work ... This position reports to the Distribution Manager and is part of the Global Supply Chain team l ...

... biotechnology? At Beckman Coulter Life Sciences, one of Danaher's 15+ operating companies, our work ... This position reports to the Distribution Manager and is part of the Global Supply Chain team ...

IT Business Analyst

Indianapolis, IN · On-site

$140K - $145K/yr

... management abilities Key Responsibilities * Analyze operational and pharmacy-related data to ... Biotechnology Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights ...

* Industry Pharma/Biotech/Clinical Research * City Indianapolis * Province Indiana * Country United ... Provideday-to-day support and administration for the Data Historian System. * Assist inmaintaining ...

Showing results 41-60

Biotech Data Management information

See Indiana salary details

$13

$31

$53

How much do biotech data management jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for biotech data management in Indiana is $31.47, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.31 per hour, depending on experience, location, and employer.

What is biotech data management?

Biotech data management refers to the collection, storage, organization, and analysis of large volumes of biological and experimental data generated in biotechnology research and development. This role ensures that data is accurate, accessible, and secure, supporting scientific discoveries and regulatory compliance. Professionals in this field often work with databases, bioinformatics tools, and data governance policies to help researchers make informed decisions and maintain data integrity.

What are the key skills and qualifications needed to thrive in biotech data management?

To thrive in Biotech Data Management, you need a strong background in biology or life sciences, data analysis, and database management, typically supported by a relevant degree. Familiarity with bioinformatics tools, laboratory information management systems (LIMS), and programming languages such as Python or R is commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills for ensuring data integrity and collaboration across teams. These competencies are essential for managing complex scientific data, supporting research accuracy, and driving innovation in biotech environments.

What are some common challenges faced in a biotech data management role, and how can they be addressed?

One of the main challenges in Biotech Data Management is ensuring data integrity and compliance with strict regulatory standards such as FDA or GDPR. Managing large and complex datasets from a variety of laboratory instruments and research studies also requires strong attention to detail and robust data organization skills. Collaboration with scientists, IT professionals, and regulatory teams is essential to maintain accurate and accessible records. Using validated data management systems and staying up-to-date with industry best practices can help address these challenges and ensure high-quality, reliable data.

What is the difference between Biotech Data Management vs Biotech Data Analyst?

AspectBiotech Data ManagementBiotech Data Analyst
Required CredentialsBachelor's in Life Sciences, Bioinformatics, or related; familiarity with database systemsBachelor's in Biology, Statistics, or related; proficiency in data analysis tools
Work EnvironmentData management teams, laboratories, biotech companiesResearch teams, biotech firms, data analysis departments
Employer & Industry UsageUsed across biotech, pharmaceutical, and research organizations for data organizationUsed for interpreting data, generating reports, and supporting research decisions

Biotech Data Management focuses on organizing, maintaining, and ensuring data integrity within biotech organizations, often involving database systems and data quality control. In contrast, Biotech Data Analysts interpret and analyze data to generate insights, reports, and support research outcomes. While both roles require strong data skills, Data Management emphasizes data storage and quality, whereas Data Analysis emphasizes data interpretation and reporting.

What job categories do people searching Biotech Data Management jobs in Indiana look for?

The top searched job categories for Biotech Data Management jobs in Indiana are:

What cities in Indiana are hiring for Biotech Data Management jobs?

Cities in Indiana with the most Biotech Data Management job openings:

Infographic showing various Biotech Data Management job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,463 per year, or $31.5 per hour.

M&A Financial Due Diligence Data Analytics Manager - LSHC

Deloitte

Indianapolis, IN • On-site

Full-time

Medical, Vision, Life

Re-posted 12 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 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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