GSK
Location
Stevenage, Hertfordshire | United Kingdom
Job description
Site Name: UK - Hertfordshire - Stevenage
Posted Date: Mar 6 2024
The new Research Tech Data and Predictive Sciences function is focussed on harnessing the power of GSK’s data-as-an-asset to drive research productivity upper quartile ambitions.
As the Senior Director of the Cheminformatics (CIX) group, you will be focused on leading a team that develops, integrates and embeds advanced computational methods and predictive in silico models that accelerate the discovery of medicines.
Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, TAs, GSK Tech, AIML, Vaccines, Risk & Compliance, and across lines within the function itself, and by developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on enabling value realization through end-user uptake and measuring impact.
Key Accountabilities / Responsibilities:
Leadership of a global team of Ph.D. level Cheminformaticians with a wide diversity of skillsets that include cheminformatics, statistics, machine learning and molecular design.
Align the portfolio of scientific and program-support activities to proactively seek out opportunities for impact of computational molecular design methodologies on drug discovery at GSK.
Accountable for the identification, validation and integration of emergent trends and opportunities in computational science that impact drug discovery by accelerating the pipeline through increased efficacy and reduced cycle times.
With MMD & Discovery Chemistry, embed and scale BRADSHAW and related methods into small molecule design standard practice. Continually improve BRADSHAW capabilities and enhance our ligand-based design approaches. Realize our aspirations for Digital Chemistry
Ensure methods are applicable to our growing modality toolbox including covalents, PROTACS and ADCs and determine the potential for application to oligos.
Determine and embed optimal array design methodologies, hit selection and expansion methods.
Investigate the applicability of high throughput PBPK or other models in the early discovery space to enable our ability to design molecules that can achieve the desired dose levels.
Deliver global models for ADMET & safety endpoints in collaboration with Pre-Clinical Sciences
Partner with Tech organizations to facilitate the move to cloud, incorporate Google Big Query where possible.
Qualifications, Knowledge, Skills and Experience
Demonstrated leadership skills and the ability to lead a team of PhD level scientists
PhD in Computational Chemistry or Life Sciences or equivalent with 15+ years pharma or biotech experience and a track record of impactful contributions.
Evidence of broad expertise in the computational sciences with an emphasis on structure & ligand-based molecular design, cheminformatics and machine learning
Demonstrable technical excellence in elements of predictive modeling (AI/ML), such as: QSAR, active learning, molecular generation, etc.
Demonstrated track record of identifying, developing, and applying innovative solutions to scientific and technological problems faced in computational molecular design and in the wider drug discovery organization.
Demonstrates evidence of developing and implementing new scientific strategies in collaboration with other disciplines (Med Chem, Screening, DMPK, etc.).
Demonstrated track record in leading change.
Demonstrated ability to work as team leader and participate and lead in a matrix environment.
Evidence of influencing organisational scientific strategy
Evidence of strong critical thinking skills.
Excellent written and oral communication skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial, collaborative attitude.
Extensive knowledge of related disciplines (e.g. chemistry, biology, DMPK, safety) to enable multidisciplinary approaches to be identified and integrated into a cohesive project plan
Evidence of identifying, developing, and applying innovative solutions to scientific and technological problems faced in the Life Sciences
Evidence of strong problem-solving & high learning agility
Evidence of a broad knowledge of computational sciences which will include a deep knowledge of machine learning and cheminformatics and related methods such as QSAR, active learning, molecular generation, etc.
Extensive knowledge of related disciplines (medicinal chemistry, HT screening, analytical chemistry, DMPK, Tox, Imaging) to enable multidisciplinary approaches to be identified and integrated into a cohesive project plan.
Why Us?
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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, 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*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [email protected] or 0808 234 4391.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.
Job tags
Salary
