Associate Director, Manufacturing Data Science
Rockville Biopharm, United States
Full Time Mid-level / Intermediate USD 136K - 226K
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherThe Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant and productive while maintaining product quality. The site MSAT team is also responsible for delivering continuous improvements to the existing supply chains supported at the Rockville site and working with global MSAT implement process-related improvement programs across the product lifecycle.
The Associate Director, Manufacturing Data Science serves as the site MSAT leader in the data and analytics space, supporting site initiatives and implementation of smart manufacturing principles in collaboration with the site digital and analytics teams and driving innovative solutions to complex technical problems. He or she will lead a team of data scientists and engineers to facilitate delivery of product and process data solutions in biologics manufacturing environment. This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing.
The role will be expected to support technical development of the MSAT organization, promoting technical and leadership capability to develop a high performing MSAT team and improving the data literacy and capability of the MSAT organization.
This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following…
- Serve as the technical leader for data science and analytics capabilities for the MSAT team at Rockville Biopharm
- Accountable for the development and deployment of the strategic data and analytics plan for the Rockville MSAT Team, in collaboration with other site and central digital and analytics teams
- Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA
- Develops capability roadmaps for the newly formed Digital and Data Analytics Team
- Questions status quo and develop novel approaches to data mining
- Perform on a daily basis a wide array of biostatistical and data science techniques: multivariate analysis, machine learning and basics statistical analysis and visualization
- Drive innovation through leading continuous improvement for technical processes or systems and championing introduction of novel technologies, including new modeling platforms and approaches (first-principle modeling, CFD, machine learning), digital systems and visualizations, and process analytical technologies (PAT)
- Manages relationships with key internal (i.e. digital, data, analytics, production, engineering, quality) and external (i.e. central and external MSAT teams, tech, R&D) partners to deliver technical objectives and implementation of novel data and analytics platforms and technologies
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Bachelors degree with 12+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics OR MS or PhD with 10+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics
- In-depth experience with digital, data, and analytics techniques in the pharmaceutical industry
- Experience biopharmaceutical manufacturing (upstream / downstream) is required
- Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power)
- Experience of developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection
- Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs
- Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
- MS or Ph.D. in data/computer science or engineering, biological or chemical science or engineering or equivalent technical discipline
- Strong interpersonal and leadership skills to manage a technical team and cross-functional teams. Prior experience managing a team or matrix team preferred
- Strong verbal and written communication skills particularly in the area of technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members
- Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture
- Demonstrates initiative to solve problems, effective at making and implementing decisions
#LI-GSK
The annual base salary for new hires in this position ranges from $136,125 to $226,875 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.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. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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 the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
Tags: Classification Clustering Computer Science Data analysis Data Analytics Data Mining Engineering Machine Learning Matlab Pharma PhD Python R R&D RDBMS SAS Statistics
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Salary bonus Transparency
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.