about us

Reify Health changes the method of developing medications by connecting and enabling the ecosystem of the clinical experiment. We are a team of researchers, businessmen, technicians and professionals obsessed with health care, building solutions that eliminate some of the biggest challenges in clinical research.

We care about people who care about people … and we have fun while doing so.

Unique data flows that grow unique opportunities to manage clinical trials more efficiently and expected. Data and Data Science Analysis Group is looking for talent Data analysts To explore our data and distress visions that will open these opportunities for clinical professionals. If you are sympathetic, driven by the results, and you want to put your unique analytical skills to help the clinical research community, this may be the role for you. As a fast -growing company, we are looking for people who can balance rapid implementation and rapid delivery effectively with statistical/sporting accuracy to serve the most effective business. You have strong opinions, hanging weakly, and when you know technically when you choose the right tool, for the right function, at the appropriate level of complexity. It will work to comply with our data engineering and data products groups, benefit from architecture, tools and technical expertise, and also cooperate in projects with stakeholders in the company through design, product and software engineering. ### What you will work on

• Explore the rich historical data of the pharmaceutical sites, sponsors and other stakeholders and use them to detect applicable visions to enable the most effective experimental support and the most predictable registration management decisions.
• Cooperation with various teams of technician and non -technical interests to provide visions through models, reports, perceptions, information paintings and other media.
• Develop the clean, reusable, tested software instructions, and take advantage of the existing libraries and units of the data team.
• Learn how to understand the ecosystem of global compliance and effective mobility (HIPAA, GDPR, etc.) to ensure respect for your business rights, regulations and approval preferences for all stakeholders.
• Develop a deep understanding of the clinical ecosystem, our products, data models, our business and how they all interact uniquely to help people.

What you are preparing to restore health

• 4+ years of experience has succeeded in developing and providing an implemented analytical reports, ideally in an area similar to our cars (startup, health care, and organized data).
• Experience in many technologies including repeated statistical modeling (BIO), supervision/non -supervisory learning, linear/non -linear decline.
• Great practical experience clearly with Python and SQL and working with organized and non -organized data from a variety of cloud (such as S3, AWS Redshift, RDS, PostGRES) and unpaid sources.
• Comfort with modern data analyzes and bi environments such as JuPYTER, Periscope, etc.
• Wonderful communication skills can work comfortably with technician and non -technician stakeholders to develop requirements.
• Advanced degree in biological statistics, mathematics, or other related areas.

You could

• Development and expansion of KPI information panels is important to monitor the success of the experiment.
• Doing deep statistical analyzes of the user’s behavior to understand how to improve registration.
• Help determine how to analyze and measure success in the emerging layers of clinical trials.

We appreciate diversity and believe that the unique contributions to each of us bring our success. We do not distinguish on the basis of race, religion, color, national origin, sex, sexual inclination, age, marital status, veteran position, or deficit mode.

Note: We are unable to care for work visas at this time.