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Biomedical Data Analyst Remote Jobs in Indiana (NOW HIRING)

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical ...

Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote (Open) Location ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Westfield, IN- Remote Facility: Ascension St Vincent Hospital Department/Specialty: Pharmacy Support Schedule: Full time, Mon-Fri How you'll make an impact in this role * Responsible for 340B ...

Conduct data profiling and analysis to assess data quality and identify issues prior to migration ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

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Biomedical Data Analyst Remote information

What are the key skills and qualifications needed to thrive as a Biomedical Data Analyst in a remote setting, and why are they important?

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What does a Biomedical Data Analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are some common challenges faced by remote Biomedical Data Analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.
What are the most commonly searched types of Biomedical Data Analyst jobs in Indiana? The most popular types of Biomedical Data Analyst jobs in Indiana are:
What job categories do people searching Biomedical Data Analyst Remote jobs in Indiana look for? The top searched job categories for Biomedical Data Analyst Remote jobs in Indiana are:
What cities in Indiana are hiring for Biomedical Data Analyst Remote jobs? Cities in Indiana with the most Biomedical Data Analyst Remote job openings:
Infographic showing various Biomedical Data Analyst Remote job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst

SAIC

Bedford, IN • Remote

Full-time

Posted 6 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

75th of 221 rated it services


Job description

Job ID: 2614994

Location: Bedford, IN, US

Date Posted: 2026-07-28

Category: Information Technology

Subcategory: Metrics and Data

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government programs and initiatives. The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical frameworks, and advising government stakeholders on data strategy, methodology, and best practices. This role requires deep expertise in data analysis, strong communication skills, and the ability to translate complex data findings into clear, meaningful information for government customers at all levels. The ideal candidate will bring a combination of hands-on analytical proficiency, strategic thinking, and demonstrated experience operating in a government contracting environment to drive informed decision-making in support of government program objectives.

Key Responsibilities:

Government Stakeholder Interface & Reporting

  • Serve as the primary contractor point of contact for all data analysis activities, reporting directly to government stakeholders including program managers, contracting officers, and senior leadership
  • Provide regular status updates, analytical findings, and program reporting to government customers in accordance with contract requirements and government-directed reporting schedules
  • Prepare and deliver formal briefings, technical reports, white papers, and data products to government stakeholders at all levels
  • Respond to government requests for information, data calls, and ad hoc analytical tasking in a timely and accurate manner
  • Maintain transparent and professional communication with government counterparts while operating within appropriate contractor roles and boundaries
  • Support government-led program reviews, technical interchange meetings (TIMs), milestone decision reviews, and data governance forums
  • Assist government stakeholders in understanding analytical findings, data limitations, and recommendations to support informed decision-making

Subject Matter Expertise & Technical Advisory

  • Serve as the recognized contractor technical authority and primary resource for all data analysis-related activities in support of the government program
  • Provide expert guidance to government stakeholders on data analysis methodologies, statistical techniques, and analytical best practices
  • Advise government program leadership and team members on data strategy, data governance, and the appropriate use of analytical tools and techniques
  • Evaluate and recommend analytical approaches, tools, and technologies to improve the quality and efficiency of government data analysis efforts
  • Stay current with emerging trends, technologies, and methodologies in data analytics and apply relevant advancements to government program needs
  • Ensure all analytical recommendations and products align with government standards, policies, and program objectives

Data Collection & Management

  • Identify, acquire, and integrate data from multiple government and contractor sources, including databases, APIs, flat files, and real-time data streams
  • Assess data quality, completeness, and reliability, and implement data cleaning and validation processes to ensure analytical accuracy in support of government requirements
  • Develop and maintain data dictionaries, metadata documentation, and data lineage records in accordance with government data management standards
  • Establish and enforce data management standards and best practices across the contractor team consistent with government direction
  • Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements
  • Ensure all data handling, storage, and transfer activities comply with applicable government security and data privacy requirements

Data Analysis & Interpretation

  • Design and execute complex quantitative and qualitative analyses to address government program objectives and stakeholder questions
  • Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making
  • Conduct trend analysis, pattern recognition, anomaly detection, and root cause analysis across large and complex government datasets
  • Develop and validate analytical models, algorithms, and frameworks to support government program decision-making
  • Interpret and contextualize analytical findings within the broader government program or operational environment
  • Clearly communicate analytical assumptions, limitations, and uncertainties to government stakeholders to ensure appropriate use of findings

Data Visualization & Reporting

  • Design and develop clear, compelling, and intuitive data visualizations, dashboards, and reports tailored to government stakeholder needs and preferences
  • Translate complex analytical results into concise, actionable insights for both technical and non-technical government audiences
  • Develop standardized reporting templates and visualization frameworks for recurring government analytical products and contract deliverables
  • Prepare and submit all required contract data requirements list (CDRL) deliverables related to data analysis on time and in accordance with government-approved formats
  • Utilize industry-leading visualization tools such as Tableau, Power BI, or equivalent platforms approved for use within the government environment

Process Improvement & Innovation

  • Identify opportunities to improve data collection, processing, and analysis workflows to increase efficiency and analytical quality in support of government program objectives
  • Develop and implement repeatable, scalable analytical processes and standard operating procedures (SOPs) consistent with government requirements and approval
  • Introduce and champion innovative analytical approaches, automation, and tools to enhance government program capabilities, subject to government review and approval
  • Conduct lessons learned reviews and incorporate government feedback to continuously improve analytical products and processes
  • Propose process improvements and new analytical capabilities to government stakeholders with supporting justification and implementation plans
     

Qualifications

Minimum Requirements and Education:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field (Master's degree preferred)
  • Minimum of 7–10 years of experience in data analysis, data science, or a related analytical discipline, with at least 3–5 years in a contractor support role interfacing directly with government customers
  • Demonstrated subject matter expertise in advanced statistical analysis, data modeling, and quantitative methods
  • Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent
  • Experience with data visualization tools such as Tableau, Power BI, matplotlib, or equivalent
  • Strong experience with relational and non-relational database management systems
  • Proven ability to manage and analyze large, complex, and multi-source datasets in a government program environment
  • Thorough understanding of government contracting processes, roles, responsibilities, and reporting requirements
  • Excellent written and verbal communication skills, including the ability to present complex findings to government senior leadership and non-technical audiences
  • Strong critical thinking, problem-solving, and attention to detail
  • Ability to obtain and maintain a secret level security clearance


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