Director of Oncology Data Science Innovation

Nazwa biura: UK - Hertfordshire - Stevenage, Heidelberg, USA - Pennsylvania - Upper Providence
Posted Date: Nov
Company Overview

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. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far, we have secured two FDA approvals, with three more expected later this year. By uniting science, technology, and talent, we are committed to getting ahead of disease together. 

Job Purpose

Are you looking for an opportunity to lead a Data Science Innovation team within Oncology Genomics & Data Science in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you.
 

As a Director in Oncology Data Science Innovation, you will lead, plan, develop and coordinate state-of-the-art computational biology analytics, pipelines and AI/ML method for advancing our growing Oncology portfolio in partnership with functions across GSK including the AI/ML team, Research Technology's data science teams and team within Human Genetics and Genomics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others.

GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come.  Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets.

Key responsibilities:

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

• Lead, build and grow a team of Computational Biologists, Statisticians and AI/ML scientists to support and innovate the Oncology portfolio pipeline

• Contribute scientific and modelling expertise and design to multiple drug discovery or development efforts across oncology

• Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics & Data Science

• Individually contribute with analyses and integration of complex cancer datasets. This includes advanced modeling of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and translational and clinical data

• Develop and apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results

• Lead the development and use of bioinformatics pipelines, multimodal models and analytics

• Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs

• Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams.

• Communicate complex scientific findings clearly to both technical and non-technical audiences.

• Maintain current knowledge of advancements in cancer research and computational biology.

• Effectively communicate findings to appropriate senior GSK internal groups

• Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology

• Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development

• Define and execute a coordinated and highly influential scientific strategy

• Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners

Why you?Basic Qualifications:

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

• PhD with postdoc or industry experience OR MS with 10+ years of related experience in Computational Biology, Bioinformatics, AI/ML, or a related field.

• Proven track record of leadership or matrix leadership experience in Computational Biology, Data Science or a related field

• Strong understanding of cancer biology and the drug discovery process.

• Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. 

• Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM)

• Expertise in statistical methods and AI/ML algorithms

Preferred Qualifications:

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

• Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings

• Expertise and experience in advanced AI/ML modelling of translational and real-world clinical and 'omics data with preclinical data for target discovery, biomarker and patient selection strategies

• Experience in implementing Agentic AI systems for multiomic data analysis

• A strong publication track record and internationally recognized research experience

• Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry

• Demonstrated ability to coordinate outputs from several expertise areas to determine strategy

• Proven track record of effecting substantial change

• Ability to make decisions

• Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity

• Ability to influence others

Company Overview

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. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far, we have secured two FDA approvals, with three more expected later this year. By uniting science, technology, and talent, we are committed to getting ahead of disease together. 

Job Purpose

Are you looking for an opportunity to lead a Data Science Innovation team within Oncology Genomics & Data Science in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you.
 

As a Director in Oncology Data Science Innovation, you will lead, plan, develop and coordinate state-of-the-art computational biology analytics, pipelines and AI/ML method for advancing our growing Oncology portfolio in partnership with functions across GSK including the AI/ML team, Research Technology's data science teams and team within Human Genetics and Genomics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others.

GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come.  Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets.

Key responsibilities:

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

• Lead, build and grow a team of Computational Biologists, Statisticians and AI/ML scientists to support and innovate the Oncology portfolio pipeline

• Contribute scientific and modelling expertise and design to multiple drug discovery or development efforts across oncology

• Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics & Data Science

• Individually contribute with analyses and integration of complex cancer datasets. This includes advanced modeling of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and translational and clinical data

• Develop and apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results

• Lead the development and use of bioinformatics pipelines, multimodal models and analytics

• Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs

• Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams.

• Communicate complex scientific findings clearly to both technical and non-technical audiences.

• Maintain current knowledge of advancements in cancer research and computational biology.

• Effectively communicate findings to appropriate senior GSK internal groups

• Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology

• Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development

• Define and execute a coordinated and highly influential scientific strategy

• Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners

Why you?Basic Qualifications:

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

• PhD with postdoc or industry experience OR MS with 10+ years of related experience in Computational Biology, Bioinformatics, AI/ML, or a related field.

• Proven track record of leadership or matrix leadership experience in Computational Biology, Data Science or a related field

• Strong understanding of cancer biology and the drug discovery process.

• Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. 

• Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM)

• Expertise in statistical methods and AI/ML algorithms

Preferred Qualifications:

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

• Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings

• Expertise and experience in advanced AI/ML modelling of translational and real-world clinical and 'omics data with preclinical data for target discovery, biomarker and patient selection strategies

• Experience in implementing Agentic AI systems for multiomic data analysis

• A strong publication track record and internationally recognized research experience

• Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry

• Demonstrated ability to coordinate outputs from several expertise areas to determine strategy

• Proven track record of effecting substantial change

• Ability to make decisions

• Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity

• Ability to influence others

#LI-GSK*

Dlaczego GSK?
Łączymy naukę, technologię i umiejętności, aby razem pokonywać choroby.

GSK to globalna firma biofarmaceutyczna, której celem jest łączenie nauki, technologii i talentów, aby razem pokonywać choroby. Jako odnosząca sukcesy, rozwijająca się firma, w której ludzie mogą realizować swój potencjał, dążymy do pozytywnego wpływu na zdrowie 2,5 miliarda ludzi do końca dekady.

Priorytetem są dla nas innowacyjne rozwiązania w obszarze szczepionek i leków specjalistycznych, które maksymalizują rosnące możliwości w zakresie zapobiegania chorobom i ich leczenia. 

Skupiamy się na czterech obszarach terapeutycznych: układzie oddechowym, immunologii; onkologii; HIV; oraz chorobach zakaźnych – aby wpływać na zdrowie na dużą skalę.

Ludzie i pacjenci na całym świecie polegają na lekach i szczepionkach, które produkujemy, dlatego zobowiązujemy się do tworzenia środowiska, w którym nasi pracownicy mogą się rozwijać i koncentrować na tym, co najważniejsze. Nasza kultura bycia ambitnym dla pacjentów, odpowiedzialnym za wpływ i postępowania właściwie jest fundamentem, na którym wspólnie dostarczamy rezultaty dla pacjentów, akcjonariuszy i naszych pracowników.

GSK jest pracodawcą oferującym równe szanse. Oznacza to, że wszyscy kwalifikujący się kandydaci będą traktowani równo bez względu na rasę, kolor skóry, religię, płeć (w tym ciążę, tożsamość płciową i orientację seksualną), status rodzicielski, pochodzenie narodowe, wiek, niepełnosprawność, informacje genetyczne (w tym historię medyczną rodziny), służbę wojskową lub jakąkolwiek podstawę zabronioną przez prawo federalne, stanowe lub lokalne.

Wierzymy w elastyczną kulturę pracy dla wszystkich naszych ról. Jeśli elastyczność jest dla Ciebie ważna, zachęcamy do omówienia z naszym zespołem rekrutacyjnym, jakie są możliwości.

Jeśli potrzebujesz jakichkolwiek dostosowań w naszym procesie, aby pomóc Ci w wykazaniu swoich mocnych stron i umiejętności, skontaktuj się z nami pod adresem lub pod numerem Infolinia jest dostępna od 8:30 do 12:00 od poniedziałku do piątku, w dni świąteczne godziny i dni mogą się różnić.

Proszę pamiętać, że jeśli Twoje zapytanie nie dotyczy dostosowań, nie będziemy w stanie Ci pomóc za pośrednictwem tych kanałów. Jednakże stworzyliśmy przewodnik FAQ dotyczący rekrutacji w Wielkiej Brytanii. Kliknij link i przewiń do sekcji Kariera, gdzie znajdziesz odpowiedzi na wiele pytań, które otrzymujemy.

Ważna informacja dla firm/ agencji zatrudnienia

GSK nie akceptuje poleceń od firm zatrudnienia i/lub agencji zatrudnienia w odniesieniu do wakatów zamieszczonych na tej stronie. Wszystkie firmy zatrudnienia/agencje muszą skontaktować się z działem zakupów komercyjnych i ogólnych/zasobów ludzkich GSK, aby uzyskać wcześniejsze pisemne upoważnienie przed skierowaniem jakichkolwiek kandydatów do GSK. Uzyskanie wcześniejszego pisemnego upoważnienia jest warunkiem wstępnym do jakiejkolwiek umowy (ustnej lub pisemnej) między firmą zatrudnienia/agencją a GSK. W przypadku braku takiego pisemnego upoważnienia wszelkie działania podejmowane przez firmę zatrudnienia/agencję będą uznawane za wykonane bez zgody lub umowy kontraktowej z GSK. W związku z tym GSK nie będzie ponosić odpowiedzialności za jakiekolwiek opłaty wynikające z takich działań ani za jakiekolwiek opłaty wynikające z jakichkolwiek poleceń przez firmy zatrudnienia/agencje w odniesieniu do wakatów zamieszczonych na tej stronie.

Proszę pamiętać, że jeśli jesteś licencjonowanym pracownikiem służby zdrowia w USA lub pracownikiem służby zdrowia zgodnie z przepisami stanu wydającego Twoją licencję, GSK może być zobowiązane do rejestrowania i zgłaszania wydatków poniesionych przez GSK na Twoją rzecz, w przypadku gdy zostaniesz zaproszony na rozmowę kwalifikacyjną. Rejestrowanie odpowiednich transferów wartości jest konieczne, aby zapewnić zgodność GSK z wszystkimi federalnymi i stanowymi wymogami dotyczącymi przejrzystości w USA. Więcej informacji można znaleźć na stronie internetowej Centers for Medicare and Medicaid Services (CMS) pod adresem

---