Research Scientist

2 days ago

Bengaluru Karnataka, India ConcertAI Full time

**Job Requirements**Role Summary**:
As a Research Scientist, you will partner with a diverse and talented team of epidemiologists, bioinformaticians, data scientists, and medical practitioners to provide scientific support for studies conducted using ConcertAI's Real-World Data assets. You will have the opportunity to collaborate across a broad portfolio of sophisticated clinical research projects within oncology as a member of various project teams, reporting to the Director within the RWD&E group.

**DUTIES AND RESPONSIBILITIES -**
- Develops and assists in developing study-related materials such as quality control documents, proposals, protocols, statistical analysis plans, and reports.
- Under the supervision of the Senior Manager, Real World Evidence and other scientific staff, provides project support, including review and revision of study documents as assigned.
- Reviews preliminary analyses for adherence to planned statistical procedures. Prepares preliminary written presentation of study findings.
- Interacts internally with the Senior Manager, Real World Evidence and other scientific staff regarding ongoing and planned research.
- Communicates effectively with management and internal stakeholders regarding overall project plans, project details, deadlines, and priorities.
- Participates in telephone meetings with customers in a support role.
- Assists in the development of drafts of abstracts, posters, and manuscripts.
- Abides by the provisions of the HIPAA security and privacy rules.
- Attending staff meetings as scheduled.
- Participates in other projects as assigned.

**Work Experience**:

- Master’s in Computer Science, Biotechnology, or Computational Biology with 2+ years of healthcare experience, OR Bachelor’s in the same fields with 4+ years of healthcare experience. Preference for experience with real-world healthcare data
- Expertise in querying and managing large datasets across relational databases (e.g., MySQL, PostgreSQL, SQL Server). Experience with data manipulation libraries such as pandas, NumPy, and familiarity with data visualization tools like matplotlib, seaborn, or Plotly. Ability to write efficient, modular, and reusable code for data analysis, automation, and workflow optimization
- Understanding of scientific research processes, with understanding of data management and statistical analysis relevant to the role.
- Knowledge of health economics, epidemiology, psychometrics, and a deeper knowledge of biostatistical methods may be helpful. Must have familiarity with basic office productivity software (e.g., Microsoft Excel, Microsoft Word).
- Ability to communicate effectively in writing.
- Ability to speak and present information in small groups of customers, suppliers, or employees of the company.
- Ability to carry out duties on multiple projects, manage deadlines, establish priorities for work activity, and solve practical problems.

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