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Biotech Data Science Remote Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 3+ years of experience ... biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH · On-site +1

Bachelor's Degree in Computer Science, Data Science, or a related field; * Internship experience in ... biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the ...

Medpace, Inc.

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 5+ years of experience ... biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the ...

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Biotech Data Science Remote information

What are the key skills and qualifications needed to thrive as a biotech data scientist in a remote role?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

What are some common challenges faced by remote biotech data scientists, and how can they be addressed?

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.
What are the most commonly searched types of Biotech Data Science jobs in Ohio? The most popular types of Biotech Data Science jobs in Ohio are:
What are popular job titles related to Biotech Data Science Remote jobs in Ohio? For Biotech Data Science Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science Remote jobs in Ohio look for? The top searched job categories for Biotech Data Science Remote jobs in Ohio are:
What cities in Ohio are hiring for Biotech Data Science Remote jobs? Cities in Ohio with the most Biotech Data Science Remote job openings:
Biotech Data Science Remote jobs near you

Data Strategist

A-TEK Inc.

Continental, OH • Remote

$115K - $125K/yr

Full-time

Re-posted 6 days ago

Job description

A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Develop enterprise data governance strategies and implementation roadmaps.
  • Establish data quality, metadata, master data, and data stewardship frameworks.
  • Define enterprise reporting and analytics strategies aligned with organizational objectives.
  • Collaborate with stakeholders to identify strategic data requirements.
  • Develop policies for data management, security, accessibility, and lifecycle management.
  • Support implementation of enterprise data governance tools and best practices.
  • Analyze current data architecture and recommend modernization initiatives.
  • Develop executive dashboards and performance measurement strategies.
  • Facilitate data governance working groups and stakeholder workshops.
  • Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities.
  • Monitor data quality metrics and recommend corrective actions.
  • Support strategic planning and decision-making through data-driven insights.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.
  • Minimum ten (10) years of experience in enterprise data management or analytics.
  • Demonstrated experience implementing data governance frameworks.
  • Experience developing enterprise data strategies and roadmaps.
  • Knowledge of data architecture, metadata management, and data quality principles.
  • Strong analytical, facilitation, and communication skills.
  • Ability to obtain and maintain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science, Analytics, Information Management, or related discipline.
  • Experience supporting Federal healthcare organizations.
  • Familiarity with DAMA-DMBOK or DCAM frameworks.

Compensation

Expected Salary Range: $115,000-$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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