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Bioinformatics Analyst - Medical Affairs
Company | Invitae |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Biotechnology Research |
Expires | 2023-07-13 |
Posted at | 10 months ago |
Invitae (NYSE: NVTA) is a leading medical genetics company trusted by millions of patients and their providers to deliver timely genetic information using digital technology. We aim to provide accurate and actionable answers to strengthen medical decision-making for individuals and their families. Invitae's genetics experts apply a rigorous approach to data and research, serving as the foundation of their mission to bring comprehensive genetic information into mainstream medicine to improve healthcare for billions of people.
- The ability to understand customers’ questions and translate to an actionable analysis plan.
- Support internal scientists with exploratory work to assess reporting consistency, diagnostic yield of genetic testing, and the potential to extend our offerings.
- Working closely with internal and external scientists to support peer-reviewed publications and presentations that are both clinically important and technically rigorous.
- Extracting and manipulating large datasets from internal and external databases.
- Generate summary reports for clinicians that include testing results.
- Attention to detail, with particular care in patients’ data privacy and security.
- Experience working with clinical or genetic testing data.
- Well-organized and capable of managing multiple projects simultaneously with a variety of priorities, scopes, and timelines.
- Strong communication skills, and the ability to translate between scientifically rigorous statistical analysis and a general audience, in both directions.
- Expertise in SQL and python or R and experienced in R or another language for data visualization.
- Content knowledge expertise in somatic oncology or health economics and outcomes research are a plus, but not required.
- Must have experience using or developing high-performance, scalable computational methods to analyze clinical and/or genomic data. Hands-on experience working with very large genomic datasets is ideal.
- Familiar with public human genetics/genomics clinical databases and tools
- Working knowledge of human genetics.
- Expertise in descriptive statistics and statistical analysis such as t-tests, chi-square, regression, etc.
- The successful candidate for the position will have a PhD or Master’s degree, with relevant industry/academic experience in computational biology, statistical genetics, population genetics, biostatistics, bioinformatics, clinical genetics, molecular genetics or a related field.
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