Assistant Research Scientist

About the role

Pioneer the emerging field of cardioinformatics by working together with computational genetics experts and a team of scientists to design and implement bioinformatics and computational biology approaches to analyze human genomic data and drive discoveries in public health, with a focus on biostatistical methods, database development (e.g., HeartBioPortal), AI/machine learning approaches (e.g., causal inference methods), and instrumental variable analysis techniques (e.g., Mendelian Randomization) directly relevant to heart health and disease and its applications to drug discovery.

Responsibilities

• Collaborate with computational genetics experts and a team of scientists to design and implement bioinformatics and computational biology approaches to analyze human genomic data and drive discoveries in public health.
• Focus on biostatistical methods, database development (e.g., HeartBioPortal), AI/machine learning approaches (e.g., causal inference methods), and instrumental variable analysis techniques (e.g., Mendelian Randomization) directly relevant to heart health and disease and its applications to drug discovery.
• Contribute to the development and maintenance of bioinformatics tools and databases.
• Participate in interdisciplinary research projects related to cardiovascular disease and drug discovery.

Requirements

• PhD in Bioinformatics, Computational Biology, Statistics, or a related field.
• Experience with bioinformatics tools and databases.
• Strong background in biostatistics and machine learning.
• Ability to work effectively in a multidisciplinary team environment.
• Excellent communication and collaboration skills.

Qualifications

• Expertise in bioinformatics and computational biology.
• Experience with programming languages such as R, Python, or SQL.
• Knowledge of database management systems and data warehousing.
• Experience with machine learning and statistical modeling.
• Understanding of cardiovascular disease mechanisms and drug discovery processes.

Skills

• Bioinformatics and computational biology expertise.
• Statistical analysis and machine learning skills.
• Database development and management.
• Collaborative and interdisciplinary teamwork.

Benefits

• Competitive salary commensurate with experience.
• Inclusive and supportive work environment.
• Flexible work schedule.
• Professional development opportunities.

Pay

Salary is competitive and commensurate with experience.

Schedule

Fully remote position.