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Biotech Data Science Remote Jobs in Ohio (NOW HIRING)

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Using approved product information, scientific literature, and internal data to provide clear ... Remote working - with over 85% of our workforce successfully working from home, we can offer a ...

$17.25 - $22.50/hr

Do you want to use your financial skills to support cutting‑edge science, national defense, and ... Remote Work (CONUS): * No, this position is not approved for remote work. * Eligible for a Referral ...

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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, and why are they important?

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 cities in Ohio are hiring for Biotech Data Science Remote jobs? Cities in Ohio with the most Biotech Data Science Remote job openings:
Remote MES Consultant

Remote MES Consultant

Enhanced Information Solutions

Columbus, OH • Remote

Full-time

Posted 12 days ago


Job description

Company Description

Our Experience

For over 20 years EIS has provided consulting services to dozens of Fortune 500 companies in the biotech, pharmaceutical and medical device industry.
Our Focus
EIS provides consulting expertise for life science manufacturing focused on Manufacturing Execution Systems (MES), Mobile apps, RFID, software programming, automation systems, system integration and software validation.
Our Philosophy
We believe in a simple business philosophy:  Listen to our customer's needs and work closely with them to provide the highest quality solutions to help them meet their goals.




Job Description

The full-time Manufacturing Execution Systems (MES) Consultant will focus on providing consulting services for our clients in the biotech and pharmaceutical industries. The MES consultant will work on project teams to assist with the implementation or support of MES and is expected to perform various roles in the software development lifecycle, including programming, project management, software validation and unit testing. In addition, this role requires close interaction with clients and the ability to work and communicate with both team members and external stakeholders.



Qualifications
  • Strong background in computer programming and familiarity with MES software packages such as Honeywell POMS/POMSnet, Werum PAS-X, Rockwell ProPack Data, Camstar, SAP MES or Emerson Syncade
  • Bachelors degree in a relevant area such as Operations, Computer Science, Engineering or Business Administration
  • Understanding of the software development life cycle and familiarity with the various phases such as gathering user requirements, developing software code and/or executing test protocol
  • Ability to travel to client sites when necessary
  • Openness to career development and feedback to promote future job advancement

Travel: Up to 100% based on client location



Additional Information

All your information will be kept confidential according to EEO guidelines.