Skip to main content

Search jobs

Search jobs

Over AbbVie

De missie van AbbVie is het ontdekken en leveren van innovatieve geneesmiddelen die vandaag een oplossing bieden voor ernstige gezondheidsproblemen en de medische uitdagingen van morgen aanpakken. We streven ernaar om een grote impact te hebben op het leven van mensen in verschillende belangrijke therapeutische domeinen: immunologie, oncologie, neurowetenschappen, oogzorg, virologie, vrouwengezondheid en gastro-enterologie, naast producten en diensten uit de portefeuille van Allergan Aesthetics. Bezoek www.abbvie.com voor meer informatie over AbbVie. Volg @abbvie op Twitter, Facebook, Instagram, YouTube en LinkedIn.

Sr. Manager, Clinical Analytics (Scientific Analytics)

Waukegan, Illinois Job ID 2120174 Categorie Research and Development Afdeling AbbVie

Clinical Analytics is an ambitious team of Data Scientists with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions.

The Sr. Manager, Clinical Analytics is a people manager role within Clinical Analytics and is responsible for talent management and operations delivery. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems. Ensures consistency in analysis techniques and delivery against cross-functional analytics and visualization requirements. Accountable for gathering cross-functional input into the development of Advanced Analytics capabilities, and ensures follow-through via robust project management and stake holder management

  • Manages a team of associates and data scientists in clinical analytics
  • Responsible for coaching, mentoring and performance management of direct reports, as well as talent development in alignment with DSS strategy
  • Leads cross-functional initiatives with matrixed teams; connects with cross-functional leadership and enables analytics capabilities to drive data-driven operations and decision making
  • Influences the cross-functional stakeholders to identify opportunities to unleash the full-potential of data and analytics
  • Drive the definition, design, implementation and validation of cutting-edge algorithms to analyze disparate data sources to achieve targeted outcomes by leveraging machine-learning and Artificial Intelligence approaches, predictive and statistical modeling concepts, clustering and classification techniques
  • Ensures consistent analytics support to the AbbVie Clinical Trial and Precision Medicine portfolio through effective resource management, prioritization, and timeline management
  • Fosters innovation and entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning
  • Collaborates across R&D functional areas to link data and key learnings for broad impact on complex, cross-functional projects involving multiple scientific and/or clinical discipline and Advanced Analytics methodologies. Capable of translating complex data science findings to broad audiences (both technical & non-technical)
  • Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

  • Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 8+ years (BS), 6+ years (MS) or 4+ years (PhD) of related experience
  • Must have 2+ years’ experience with people management and talent development
  • Intermediate-level proficiency in R, SAS or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
  • Intermediate proficiency with visualization tools like Spotfire, Tableau or equivalent
  • Experience with Hadoop platforms and related “big data” technologies is preferred
  • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
  • Demonstrated project management skills
  • Experience with Machine Learning and other advanced analytics techniques preferred
  • Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
  • Demonstrated problem-solving and analytical skills. Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
  • Demonstrated ability to influence Sr. Executives and cross-functional leaders
  • Good understanding of clinical development functional areas and related processes
Significant Work Activities: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Keyboard use (greater or equal to 50% of the workday)
Travel: Yes, 5 % of the Time
Job Type: Experienced
Schedule: Full-time
ABBVIE

Meest recente vacatures

Aanmelden voor job alerts

Sluit u aan bij ons talentennetwerk en ontvang nieuws en job alerts van AbbVie in uw mailbox.

Geïnteresseerd inSelecteer een categorie of locatie. Klik op ‘Add’ (toevoegen) om uw job alert aan te maken.

Onze Gebruiksvoorwaarden, ons Cookiebeleid en ons Privacybeleid leggen uit hoe we uw gegevens verzamelen en gebruiken en wat uw rechten zijn. Door ons uw gegevens te verstrekken, verklaart u deze documenten te hebben gelezen en gaat u ermee akkoord dat AbbVie u sms-berichten en job alerts per e-mail kan toesturen.

Onlangs bekeken functies

You have not viewed any jobs recently.

Phishing scam alert

As an online job seeker, you could be a target of cyber (online) thieves seeking to secure personal information from you by sending you “phishing” messages.

Please be alert to and protect yourself from phishing scams. Click here to find out how you can avoid being a victim of job phishing scams.

For Internal Candidates only - Notice of Filing of Labor Condition Application