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Entry Level Clinical Database Programmer Jobs in Cleveland, OH

micro1 AI

Bioinformatics Software Engineer

Cleveland, OH · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

micro1 AI

Bioinformatics Software Engineer

Akron, OH · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

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Entry Level Clinical Database Programmer information

See Cleveland, OH salary details

$67.4K

$115.4K

$205.6K

How much do entry level clinical database programmer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level clinical database programmer in Cleveland, OH is $115,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $174,600.00 per year, depending on experience, location, and employer.

What is an entry level clinical database programmer?

Entry level clinical database programmers are professionals who assist in designing, developing, and managing databases used to collect and store clinical trial data. They typically work under the supervision of senior programmers or data managers, ensuring data integrity, accuracy, and compliance with regulatory standards. Their responsibilities may include creating case report forms (CRFs), validating data, running queries, and generating reports. This role is essential in supporting clinical research by enabling efficient and reliable data management throughout the trial process.

What skills and qualifications are needed to thrive as an entry level clinical database programmer?

To thrive as an Entry Level Clinical Database Programmer, you need a foundational understanding of database design, SQL programming, and a relevant degree in computer science, information technology, or a related field. Familiarity with clinical data management systems like Medidata Rave, Oracle Clinical, or SAS, as well as knowledge of regulatory standards such as CDISC, is typically expected. Attention to detail, analytical thinking, and strong communication skills help you collaborate effectively with clinical teams and ensure data quality. These skills are crucial for maintaining accurate clinical trial databases, supporting regulatory compliance, and contributing to the success of clinical research projects.

What are common challenges faced by entry level clinical database programmers, and how can they be addressed?

Entry level clinical database programmers often encounter challenges such as understanding complex clinical trial protocols, adapting to various database management systems, and maintaining high standards of data accuracy. Collaborating closely with data managers and senior programmers can help bridge knowledge gaps and ensure best practices are followed. Additionally, proactively seeking mentorship and participating in training sessions can accelerate learning and build confidence in handling clinical data programming tasks.

What is the difference between Entry Level Clinical Database Programmer vs Clinical Data Coordinator?

AspectEntry Level Clinical Database ProgrammerClinical Data Coordinator
Required CredentialsBachelor's in life sciences, computer science, or related field; basic knowledge of clinical databasesBachelor's in health sciences, life sciences, or related field; understanding of clinical data collection
Work EnvironmentClinical research organizations, pharmaceutical companies, CROs; focus on database development and programmingClinical trial sites, hospitals, research centers; focus on data collection and management
Employer & Industry UsageUsed in pharmaceutical and biotech industries for database setup and programmingCommon in clinical trial sites and research institutions for data oversight

While both roles involve handling clinical data, the Entry Level Clinical Database Programmer primarily focuses on designing and programming databases for clinical trials, whereas the Clinical Data Coordinator manages data collection and quality at trial sites. The programmer role emphasizes technical skills in database software, while the coordinator role emphasizes data accuracy and compliance.

What cities near Cleveland, OH are hiring for Entry Level Clinical Database Programmer jobs?

Cities near Cleveland, OH with the most Entry Level Clinical Database Programmer job openings:

Entry Level Clinical Database Programmer jobs near you

Bioinformatics Software Engineer

micro1 AI

Cleveland, OH • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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