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Senior Data Scientist II (CMC Development)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on XFacebookInstagramYouTubeLinkedIn and Tik Tok.

Job Description

Group


AbbVie Development Sciences (Dev Sci) is an integrated, cross-functional R&D organization that includes CMC (Process R&D, Drug Product Development and Analytical R&D), Biological Sciences (Preclinical Safety and Drug Metabolism, Pharmacokinetics & Bioanalysis) and Clinical Drug Supply Management functions responsible for the development of small molecule pharmaceuticals and therapeutic biologics from Discovery Candidate Selection through late stage clinical. The Data & Digital Strategy core team within Development Sciences defines and executes our data and digital strategy in collaboration with Dev Sci subject matter experts and Information Research (IR). The Data & Digital Strategy team partners cross-functionally to build and maintain a data and systems architecture that enables world-class knowledge management, data analytics and predictive modelling capabilities. We are looking for diverse candidates with a blend of product development, informatics and data systems experience who can help advance our data and digital capabilities


Purpose


Conceive, design and implement new tools that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Work closely with science team to understand scientific needs, and generate new proposals based on those needs, and lead the efforts to bring the proposals to fruition. Investigate, identify, develop, and optimize new methods, algorithms, and technologies to derive novel, competitive insights from disparate data sources, or to drive productivity and efficiency gains. Act as a lead data scientist in area of expertise and critically evaluate relevant scientific and technological advances and integrate this knowledge into new solutions to drive science.


Responsibilities

  • Conceive, design and implement new solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data. Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
  • Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets. Broad expertise in machine learning, software development, data warehousing, and statistics.
  • Demonstrate deep knowledge of the pharmaceutical and healthcare business, with a particular
  • focus on the science done in CMC Development, and utilize this knowledge in the rapid
  • advancement of impactful solutions.
  • Operate independently with guidance or oversight from a supervisor when needed.
  • Proactively seek out new information and technologies in the literature/public domain and
  • incorporate into individual project(s) as well as the overall program
  • May mentor/supervise a team of one or more and guide and evaluate the performance of those
  • individuals; is accountable for the effective performance of the team/individuals.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional
  • Policies, including code of conduct, safety, GxP compliance, and data security.

Qualifications

  • Bachelor’s Degree or equivalent education and typically 12 years of experience, Master’s Degree
  • or equivalent education and typically 10 years of experience, PhD and typically 4 years of
  • experience.
  • Strong background in machine learning (ML) modeling for scientific applications
  • Excellent written and oral English communication skills.
  • Ability to work in a global environment with teams at multiple sites.


Preferred:

  • The ideal candidate brings a blend of strong scientific experience in the biotech/pharma industry
  • and excellent IT skills.
  • Background and experience in CMC Development data and workflows a strong plus, including
  • but not limited to toxicology, pathology, and pharmacokinetic data and workflows.


 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • This opportunity has the potential for remote flexibility if located within the United States. Ideally, you should be on-site,  located at AbbVie's North Chicago, IL or Worcester, MA campus. (Relocation can be covered)
  • ​Leveling will be commensurate with experience.
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
  • This job is eligible to participate in our short-term incentive programs. ​
  • This job is eligible to participate in our long-term incentive programs​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html 

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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What You Should Know About Senior Data Scientist II (CMC Development), AbbVie

As a Senior Data Scientist II at AbbVie in North Chicago, IL, you will be at the forefront of innovative healthcare solutions. AbbVie is dedicated to delivering groundbreaking medicines, and your role will be pivotal in driving our data and digital strategy. You'll work closely with diverse teams to conceive, design, and implement tools that address significant scientific and business challenges by harnessing large data sets. In this collaborative environment, you will leverage your expertise in machine learning, data visualization, and analysis to provide critical insights that enhance productivity and efficiency. Your background in product development and informatics will empower you to propose and execute impactful data solutions. You'll also stay abreast of the latest scientific advancements, guiding project trajectories and mentoring junior team members. If you're passionate about making a remarkable difference in people's lives while advancing your career in a leading biotech environment, this is the opportunity for you. Join us at AbbVie to drive science forward and help optimize our pharmaceutical development processes!

Frequently Asked Questions (FAQs) for Senior Data Scientist II (CMC Development) Role at AbbVie
What are the key responsibilities of a Senior Data Scientist II at AbbVie?

As a Senior Data Scientist II at AbbVie, you'll be responsible for conceiving, designing, and implementing data solutions to overcome significant scientific and business challenges. This includes integrating and visualizing large data sets, utilizing advanced computational methods, and leading cross-functional collaborations to enhance our data and digital capabilities.

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What qualifications are required for the Senior Data Scientist II position at AbbVie?

Candidates for the Senior Data Scientist II role at AbbVie typically need a Bachelor's Degree and 12 years of relevant experience, or a Master's Degree with 10 years of experience, or a PhD with 4 years of experience. A strong background in machine learning, scientific applications, and familiarity with CMC Development workflows is highly valuable.

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How does the Senior Data Scientist II position contribute to AbbVie's mission?

The Senior Data Scientist II plays a crucial role in AbbVie's mission by developing innovative data solutions that enhance our understanding of healthcare challenges and inform R&D decisions. Your insights will directly impact how we develop medicines that improve patient outcomes.

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What skills are essential for success as a Senior Data Scientist II at AbbVie?

Successful candidates will exhibit strong machine learning skills, expertise in data analysis, and proficiency in programming and data visualization tools. Excellent communication skills are also essential for articulating data-driven insights and collaborating effectively across multidisciplinary teams.

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Is remote work an option for the Senior Data Scientist II role at AbbVie?

Yes, AbbVie offers potential remote flexibility for this role, provided you are located within the United States. While the primary workspace is in North Chicago, IL, there is room for arrangement depending on individual circumstances.

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Common Interview Questions for Senior Data Scientist II (CMC Development)
Can you describe your experience with machine learning in a pharmaceutical context?

Highlight specific projects where you applied machine learning techniques to drug development, emphasizing how your work impacted outcomes. Discuss challenges faced, technologies used, and your role in the collaborative effort to produce results.

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How do you ensure the accuracy and reliability of the data you work with?

Discuss your approach to data validation, including methodologies for cleaning and preprocessing data, the use of statistical techniques to detect anomalies, and the importance of collaborating with other teams to verify data quality.

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What strategies do you use for data visualization and storytelling?

Emphasize your ability to transform complex data into clear visualizations that drive insights. Mention specific tools and techniques you've used, and provide examples of how you've communicated findings to stakeholders to influence decisions.

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Describe a challenging project you've led as a data scientist.

Choose a project that demonstrates your problem-solving skills. Detail the challenges faced, your strategies for overcoming them, and the positive outcomes of your leadership and technical expertise.

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How do you keep up with new developments in data science and the pharmaceutical industry?

Highlight your proactive approach to continuous learning, such as attending workshops, engaging with online courses, and following industry publications. Mention how you apply these learnings to your work at AbbVie.

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What role does teamwork play in your process as a data scientist?

Discuss the importance of collaboration in your work, including how you leverage the skills of different team members to enhance project results and how you foster an open environment for sharing ideas and feedback.

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Can you give an example of how you've transformed data into actionable insights?

Provide a specific instance where your analysis led to a significant decision within a project. Discuss the methods you used, the insights derived, and the impact it had on the organization's objectives.

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What methodologies do you prefer for handling large datasets?

Share your knowledge of various data processing methodologies, including your preference for tools or frameworks when dealing with large datasets. Discuss any relevant experiences that exemplify efficient data handling.

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How would you mentor a junior data scientist at AbbVie?

Discuss your philosophy on mentoring, including how you would assist in their technical development, encourage critical thinking, and involve them in critical projects to boost their learning experience.

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What do you find most exciting about working in data science within the pharmaceutical industry?

Articulate your passion for using data to advance healthcare and improve patient lives. Emphasize the positive impact you hope to have through innovative data-driven solutions and how it aligns with AbbVie's mission.

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AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: i...

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Full-time, hybrid
DATE POSTED
March 20, 2025

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