Data Scientist

Reposted 23 Days Ago
Hiring Remotely in Bengaluru, Karnataka
In-Office or Remote
Junior
Cloud
The Role
Develop algorithms for performance measurement in clinical trials, present data using visualization tools, and support process improvements in Data Science.
Summary Generated by Built In

Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences.

Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place.

1. Responsibilities
  • Develop and integrate algorithms for data transfers, compliance reports and other analyses that are useful for measuring the performance and/or delivering a successful clinical trial
  • Present information in a statistically valid and impactful way using data visualization techniques and tools such as R Shiny, Looker and SpotFire
  • Represent the Data Science team in internal and external meetings to discuss data transfer and report requirements
  • Support Data Science process improvement activities under the guidance of the Senior Data Scientists
  • Other duties as assigned
2. Experience
  • 2+ years working in Data Science, Statistics or Programming role or a combination of education and experience
3. Skills
  • Highly analytical with a strength for analysis, math and statistics
  • Critical thinking and problem-solving skills Experience in data processing and mining Analytical mind and business acumen Problem-solving aptitude
  • Excellent communication and presentation skills
  • Confident in data storytelling
  • Knowledge of the drug development industry and the role data plays in clinical trials
  • R programming language, Python, SQL, SAS required
4. Education, Certifications, Licenses
  • Bachelor’s degree in Mathematics, Statistics, Data Science or related field
5. Travel Requirements

As required

At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members.

Flexible Work

  • Hybrid from day one – we believe in creating a truly flexible employee experience

Compensation

  • Competitive base salary packages

  • Annual performance-based bonuses

  • Employee stock options – aligning your success with Medable’s growth

Health & Wellness

  • Comprehensive health insurance coverage for you and your family

  • Inclusive parental leave policy for non-birthing parents

Recognition

  • Peer-to-peer recognition programs to celebrate achievements and milestones

Community Involvement

  • Volunteer time off to support causes that matter to you

Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at [email protected].

Top Skills

Looker
Python
R Programming Language
R Shiny
SAS
Spotfire
SQL
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The Company
Palo Alto, CA
392 Employees
Year Founded: 2015

What We Do

Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, global cloud platform with a flexible suite of tools that allows sponsors, patients, providers & CRO's to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine.

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