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Clinical Trial Software Jobs in Indiana (NOW HIRING)

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45K - $61K/yr

Prior knowledge in clinical trial research is a plus. Strong programming skills in R, SASS, and/or Python, experience with Bayesian computing software. Department for Questions: Yong Zang zangyiu ...

MMS

Study Design Statistician (US)

Zionsville, IN · On-site

... for clinical trial design, together with providing consultation to advise clients on a range of ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

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Clinical Trial Software information

How does a clinical trial software specialist typically collaborate with clinical research teams during a study?

A Clinical Trial Software Specialist works closely with clinical research coordinators, data managers, and principal investigators to ensure the software aligns with study protocols and regulatory requirements. They are responsible for configuring electronic data capture (EDC) systems, providing user training, troubleshooting technical issues, and ensuring data integrity throughout the trial. This collaborative environment requires strong communication skills and a proactive approach to problem-solving, as the specialist often acts as a liaison between technical and non-technical team members.

What are the key skills and qualifications needed to thrive as a clinical trial software specialist, and why are they important?

To thrive as a Clinical Trial Software Specialist, you need a solid understanding of clinical research processes, data management, and software development principles, often supported by a degree in life sciences, computer science, or a related field. Familiarity with electronic data capture (EDC) systems such as Medidata or Oracle Clinical, knowledge of regulatory compliance like GCP, and sometimes certifications like Certified Clinical Data Manager (CCDM) are typically required. Strong analytical thinking, problem-solving abilities, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring accurate data collection, regulatory compliance, and smooth collaboration across clinical research teams.

What is clinical trial software?

Clinical trial software refers to specialized digital tools used to plan, manage, and monitor clinical trials in the medical and pharmaceutical fields. These platforms help streamline processes such as patient recruitment, data collection, regulatory compliance, and reporting. By automating many tasks, clinical trial software increases efficiency, reduces errors, and ensures adherence to industry standards and regulations. This technology is essential for organizations conducting clinical research, as it improves data accuracy and enhances collaboration among stakeholders.

What is the difference between Clinical Trial Software vs Clinical Research Coordinator?

AspectClinical Trial SoftwareClinical Research Coordinator
Primary RoleSoftware tools used to manage, track, and analyze clinical trial dataManages daily activities of clinical trials, including patient recruitment and data collection
Required SkillsTechnical knowledge of software systems, data management, and complianceClinical knowledge, organization, communication, and regulatory understanding
Work EnvironmentTechnology-focused, often in office or remote settingsHospital, clinic, or research facility
Industry UsageUsed by clinical trial teams, data managers, and IT professionalsEmployed directly by research institutions, hospitals, or pharmaceutical companies

While Clinical Trial Software involves the tools used to facilitate and manage clinical trials, Clinical Research Coordinators are the professionals who execute and oversee the trial processes. Both roles are essential in the clinical research industry but serve different functions—one focuses on software solutions, the other on trial management and coordination.

Clinical Trial Software jobs near you

Postdoctoral Fellows

Jobs for Humanity

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 2 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Indiana University to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Indiana University
Job Description

Title: Postdoctoral Fellow in Biostatistics and Health Data Science
Specific Title Appointment Type: Postdoctoral Fellow
Department: IUSM - Biostatistics
Campus: IU School of Medicine Indianapolis
Position Summary: We are seeking multiple highly motivated Postdoctoral Fellows interested in developing and implementing novel Bayesian adaptive designs for oncology clinical trials. The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with clinical trial development is a plus. The fellows will work with an interdisciplinary team spanning multiple departments, centers, and institutes with a common goal of creating and evaluating novel statistical designs in clinical research. The selected candidate will have the opportunity to learn and develop new statistical methods and designs in clinical research, write and co-author manuscripts for high-quality peer-reviewed journals, and co-submit grant proposals to secure external funding. In addition, this position will have many opportunities to collaborate with other interesting relevant projects within the Indiana University School of Medicine and MD Anderson Cancer Center. IUSM is committed to being an institution that reflects the learners we teach and the patient populations we serve and pursues the values of equity and inclusion that inform academic excellence. We desire candidates whose work contributes to equitable and inclusive learning and working environments for our learners, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Basic Qualifications: The minimum qualifications for a successful candidate include: Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is a plus. Strong programming skills in R, SASS, and/or Python, experience with Bayesian computing software.
Department for Questions: Yong Zang zangyiu
Additional Qualifications:
Special Instructions:
Priority Application Review Deadline:
Expected Start Date:
OAA #IUSM-01797-2023
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