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Harvard University Applications Professional IV in Cambridge, Massachusetts

49510BRAuto req ID:49510BRJob Code:I0758P Applications Professional IV Location:USA - MA - Boston Business Title:Senior Scientific Programmer for transcriptome-driven drug matchingSub-Unit:------------ Appointment End Date:01-Jul-2020Salary Grade:058Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Additional Qualifications:Experience developing software applications in quantitative biology. Experience required in both scientific programming (R, Python) as well as full stack web development (JavaScript, etc.) Experience with self-directed research projects a plus.Additional Information:This is a term position that ends on July 1, 2020, with strong potential for renewal.

Harvard offers an outstanding benefits package including:

Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year.

Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.

Retirement: University-funded retirement plan with full vesting after 3 years of service.

Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools.

Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.

Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services.

Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston.

The Harvard Medical School is not able to provide visa sponsorship for this position.Department:Biomedical InformaticsPre-Employment Screening:Identity Job Function:Information Technology School/Unit:Harvard Medical School EEO Statement:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Job Summary:Plan and conduct comprehensive applications/web development for complex projects; typically work as part of a team to implement complex business solutions. Perform expert coding: design, develop code at an expert level, and manage development projects, teams, programs. May manage multiple projects simultaneously.Typical Core Duties:

  • Participate fully in software development life cycle

  • Research, design, and implement technical solutions to deliver business requirements

  • Identify opportunities to improve and simplify applications portfolio and implement related enhancements

  • Contribute to creation and maturing of software development best practices and new technologies

  • Draw on relationship and technical skills to act as technical liaison to internal and external clients and to mentor junior staff

  • Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct

Basic Qualifications:

  • Minimum of five years' post-secondary education and/or relevant work experience

Certificates and Licenses:

  • Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred

Working Conditions:

  • Work is performed in an office setting

Job-Specific Responsibilities:The Department of Biomedical Informatics (DBMI) at Harvard Medical School is seeking Senior Scientific Programmer with experience in gene expression analysis (R, Python), web development (JavaScript, R/Shiny), and machine learning (R, Python). Relevant background in therapeutic development is also a plus. The candidate will work directly with Isaac Kohane and Samuel Finlayson to develop an online web application that can take in gene expression profiles from patients and match them to candidate therapeutics. This will necessarily involve the automation of single cell and bulk RNA- sequencing analysis as well as the development and implementation of predictive models for drug function from drug structure.

A key aspect of the project will be integrating disparate public data sources relevant to both genetics (e.g. GEO, GTEX) and therapeutics (e.g. CMAP, LINCS, PubChem, DrugBank, SIDER) to allow for rich annotation of therapeutic candidates. Equally important, however, will be the design and implementation of intuitive and responsive web-based analytics tools that will enable researchers (and potentially clinicians) to easily submit data and rapidly receive interpretable results.

The successful candidate will have demonstrated aptitude in quantitative biology (or relevant fields), proficiency in web and scientific programming, and experience with successful self-directed research projects. He or she will be expected to build functional prototypes given minimal specification and then work with colleagues to make iterative improvements over time.