- Salary
- $45 – $65
- Location
- 75 Francis Street Boston (Tower), United States of America
- Workplace
- Hybrid
- Type
- Part-time
- Seniority
- Senior
- Education
- Master
- Source
- Workday
Description
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
Responsible for combining research in biology, medicine, and health-related studies with information technology in order to collect and interpret data covering a range of fields, such as genetics or pharmaceutics. This role develops mathematical models, conducts dynamic simulations, and analyzes patterns in biological systems.Does this position require Patient Care?
No
Essential Functions
-Independently design and execute bioinformatics analyses and research projects on small to mid-scale projects.
-Develop and optimize data analysis pipelines and workflows.
-Collaborate with scientists and researchers to define analysis goals and interpret results.
-Provide technical expertise and support for bioinformatics tools and software.
-Train junior scientists and provide technical guidance.
-Analyze data quality and integrity of data output from existing algorithms as part of the complex, multi-step specimen tracking and reporting process, across multiple systems and web-based interfaces.
-Develop new, innovative tools to enhance quality assurance reviews and improve assay and system performance.
-Design and apply novel computational methods/bioinformatics algorithms, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical data, and images (NGS Algorithm development, Machine Learning).
-Analyze large molecular datasets from tumor sequencing to critically review and evaluate specimen testing results, working closely with faculty and staff to troubleshoot problems, recommend technology-based solutions, or determine computational strategies.
Qualifications
Education
Bachelor's Degree Computational Biology required or Master's Degree Computational Biology preferred
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Computational Sciences Experience 3-5 years required
Knowledge, Skills and Abilities
- Demonstrated experience in infrastructure, programming languages, and computational sciences.
- Demonstrated ability working with open-source bioinformatics software.
- Possess strong analytical skills, including critical thinking, data modeling, problem solving, and troubleshooting.
- Strong organizational and interpersonal skills.
- Ability to effectively communicate, both orally and in writing, to all levels of staff.
- Excellent time management skills.
Additional Job Details (if applicable)
Physical Requirements
- Standing Occasionally (3-33%)
- Walking Occasionally (3-33%)
- Sitting Constantly (67-100%)
- Lifting Occasionally (3-33%) 20lbs - 35lbs
- Carrying Occasionally (3-33%) 20lbs - 35lbs
- Pushing Rarely (Less than 2%)
- Pulling Rarely (Less than 2%)
- Climbing Rarely (Less than 2%)
- Balancing Occasionally (3-33%)
- Stooping Occasionally (3-33%)
- Kneeling Rarely (Less than 2%)
- Crouching Rarely (Less than 2%)
- Crawling Rarely (Less than 2%)
- Reaching Occasionally (3-33%)
- Gross Manipulation (Handling) Constantly (67-100%)
- Fine Manipulation (Fingering) Frequently (34-66%)
- Feeling Constantly (67-100%)
- Foot Use Rarely (Less than 2%)
- Vision - Far Constantly (67-100%)
- Vision - Near Constantly (67-100%)
- Talking Constantly (67-100%)
- Hearing Constantly (67-100%)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$45.17 - $65.74/Hourly
Grade
7
EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.