Computational Biologist - Dr. Yana Pikman Lab [Remote]

Overview

A COMPUTATIONAL BIOLOGIST position is available in the laboratory of Dr. Yana Pikman ( at the Dana-Farber Cancer Institute. Our research focuses on the application of clinical genomics for development of targeted therapy approaches for acute leukemia, drug testing and combination screening with the ultimate goals of 1) improving understanding of leukemia biology and 2) translating bench discovery to clinical care. We are also interested in studies of resistance to existing and emerging cancer therapies, and using data from leukemia models to inform mechanisms of resistance that can be further tested in the lab. You will join a team of investigators leading these efforts in the academic environment, work on the analysis of new and existing genomic datasets to advance efforts in identifying pediatric leukemia dependencies and informing leukemia drug sensitivity and resistance. You will collaborate closely with scientists as well as clinical researchers. You will play an essential, and possibly leading, role in project-focused work.

The qualified candidate will carry out data analysis, develop and support data processing and analysis tools, create new algorithms for emerging clinically focused needs with an emphasis on bulk and single cell tumor analysis including Whole-genome and whole-exome sequencing analysis of leukemia samples, maintain datasets and databases, and facilitate the display and the distribution of processed data.

We are looking for candidates with a minimum of two years of availability.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

MINIMUM JOB QUALIFICATIONS:

Minimum Education:
Bachelor's degree required in a STEM field.  Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences.

Minimum Experience:
1 year with Bachelor’s degree or 0 years with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience.

PRIMARY DUTIES AND RESPONSIBILITIES:

• Data Processing:  Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization.
• Data Analysis:  Performs routine analysis for which established tools exist and are considered reliable.  Keep up with the computational biology literature to assure pipelines components are up to date.
• Data and Software Management:  Monitors, downloads, organize, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary.
• Manuscript Preparation:  Drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures. 
• Grant Preparation:  Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans.  
• Research Portfolio Management:  Develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
• Team Interactions:  Offers peer-to-peer training in design, analysis, and presentation of results.  It is expected that insight into career growth will be offered to more junior computational biologists.
  

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Computational Skills:  Significant experience in computer programming and computational biological applications (experience in R and/ or Python, as well as cloud computing)
• Data Analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. A strong background in statistics and biology is required
• Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally.
• Strong Interpersonal Skills: ability to effectively interact with all levels of staff and external contacts.
• Excellent analytical, organizational and time management skills.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.  

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Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$75,000.00 - $91,500.00