We are seeking a highly motivated and talented individual to join our scientific team as a Epidemiologist Researcher.
This multifaceted role combines the expertise of an epidemiologist with the communication skills of a medical writer.
You will play a crucial role in translating scientific data into peer-reviewed papers and accessible insights in metabolic health.
Responsibilities:
Write research protocols related to metabolic health.
To be the connecting factor between us and researchers or universities with which we collaborate.
Contact researchers and universities to create new collaborations.
Produce studies that support the Value proposition.
Execute robust analytical strategies using our unique datasets.
Conduct epidemiological studies, including data collection, data cleansing, analysis, and interpretation.
Utilize statistical software and methodologies to analyze complex datasets
Generate reports and identify key findings and insights from research data.
Translate complex findings into clear, concise, and engaging content for diverse audiences.
Develop materials for various formats, including layman articles, scientific publications, and educational materials.
Collaborate with researchers, editors, and other stakeholders to ensure content quality and effectiveness.

We are hiring a senior data scientist to join Nucleai’s data science team. A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision and preferably using the most advanced technology. At Nucleai, we bring cancer patients cutting-edge AI-based technology by improving biopsy interpretation with machine learning and creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference. At Nucleai, we believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.