Data Scientist

Cambridge Park Drive

GSK

At GSK, we unite science, technology and talent to get ahead of disease together

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At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease.

We believe the Greater Boston area is an important hub for the biotech and pharma industry, which is why we’ve invested in growing our footprint and expanding our R&D space in Cambridge, with a primary focus on additional state-of-the-art lab space. Here, we will bring together talent and expertise, building upon GSK’s long history of vaccine development, to create globally leading viral capabilities and cutting-edge vaccines technologies, as we add to our robust portfolio targeting infectious diseases at every stage of life.

In the plan to create a new hub for mRNA-based vaccine discovery in Cambridge, we are building new laboratories that will be focused on the development of state-of-the-art methods that will be supporting deep product understanding, process and product development, as well as testing of pre-clinical and clinical samples for new mRNA-based vaccines.

Digital Virology Team in Viral Vaccine scientific area is a team of computational biologists that fosters excellence in bioinformatics, computer science, mathematics, and statistics to conduct data driven discoveries, to build innovative models and perform advanced data analytics to accelerate and enhance capability of the research and development of best-in-class viral vaccines. Viral Computational Genomics team (VCG) as part of Digital Virology is bringing data science to scientists and viral vaccine projects to innovate, provide novel insights, and drive decision making.

As Data Scientist you will integrate and analyze complex, high dimensional data sets, and extract biological knowledge to provide advanced data analytics and bioinformatics deliverables for Viral Vaccines R&D projects.

Key Responsibilities:

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

  • Represent Digital Virology as subject matter expert in projects teams.
  • Advise on study design, readout selection and data formats, data analysis strategies.
  • Provide input to the Digital Virology scientific strategy, processes, and objectives in alignment with the GSK Vaccines R&D strategy.
  • Prepare and publish scientific papers and congress reports.
  • Lead up to one PhD students for:
    • Viral computational genomics/data analytics activities for Vaccines R&D.
    • Exploratory data and knowledge integration for hypothesis generation.
    • Data modeling for innovative assays, high-dimensional readouts and viral genomics.
    • Development of tailored systems and analytical models for explorative analytics of pre-clinical, clinical, and epidemiological data.
  • Foster innovation within Digital Virology and keep abreast of the new and most recent developments and innovations in the fields relevant for the role.
  • Communicate Digital Virology activities, results, and principles to internal stakeholders and scientific community, translating complex solutions into simple, understandable and effective messages.
  • Lead or coordinate scientific interactions with multiple partners or international collaborations outside GSK Vaccines.

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  • MS or PhD in in Bioinformatics, Systems Biology, Computational Biology, Engineering, Data and Computer Science, Statistics, or a similar domain.
  • MS candidates should have three or more years of additional data science experience. PhD with no additional data science experience is acceptable.
  • Two or more years of experience and publication record in one of the following areas:
    • Computational and molecular epidemiology
    • Bioinformatics and genomics
    • Data mining and machine learning
    • Computational / dynamic modeling
    • Multidimensional biomarkers discovery and validation
  • Two or more years of experience in programming (R and Python), data analytics and modeling skills

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  • PhD in bioinformatics, bioengineering, molecular biology, computational life sciences or related field
  • Analytical, problem solving, change management and project delivery skills
  • Understanding of the Vaccine R&D practices, and data presentation across preclinical, clinical and epidemiology domains
  • Demonstrated communication skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner
  • Ability to influence performance in a matrix organization through negotiation and communication
  • Experience with viral epidemiology
  • Experience in vaccine design against bacteria and/or viruses
  • Experience with machine learning, especially deep learning
  • Experience with NGS data pipeline development and analysis
  • Ability to adjust behavior and priorities based on changing environment
  • Good networking skills and fluent interactions with one or more scientific communities
  • Cultural sensitivity
  • Fluent English (spoken and written)
  • Spoken and written French or Italian

#LI-GSK

#Vx-Cam

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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Category: Data Science Jobs

Tags: Bioinformatics Biology Computer Science Data analysis Data Analytics Data Mining Deep Learning Engineering Machine Learning Mathematics Pharma PhD Python R R&D Research Statistics Testing

Perks/benefits: Career development Health care Team events

Region: North America
Country: United States

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