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Overnight Computer Science Postdoc Jobs in Flemington, NJ

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

... science techniques Physical Requirements 0-10% overnight travel required. Qualifications * Education: A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied ...

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Overnight Computer Science Postdoc information

What is an overnight computer science postdoc?

An Overnight Computer Science Postdoc is a postdoctoral researcher in computer science who primarily works during nighttime hours. These positions typically involve conducting advanced research, collaborating on academic papers, and contributing to ongoing projects in areas like artificial intelligence, machine learning, or cybersecurity. Working overnight may be required to align with global research teams, utilize available computing resources, or accommodate personal schedules. Applicants generally need a recent Ph.D. in computer science or a closely related field. The role helps postdoctoral researchers gain further experience and prepare for faculty or industry positions.

What are the typical challenges faced by an overnight computer science postdoc and how can they be managed effectively?

An Overnight Computer Science Postdoc often faces the challenge of maintaining productivity and focus during non-traditional working hours, which can impact work-life balance and collaboration with daytime colleagues. Managing these challenges involves establishing a structured routine, utilizing collaboration tools to stay connected with team members, and setting clear communication expectations. Additionally, it's important to prioritize self-care and leverage flexible scheduling when possible to maintain overall well-being and research effectiveness.

What are the key skills and qualifications needed to thrive as an overnight computer science postdoc, and why are they important?

To thrive as an Overnight Computer Science Postdoc, you need a PhD in computer science or a related field, strong research skills, and expertise in your chosen area of study. Experience with programming languages (such as Python, Java, or C++), data analysis tools, and version control systems like Git is critical, along with familiarity with relevant computational frameworks. Excellent problem-solving abilities, self-motivation, and strong written and verbal communication skills help you excel in independent and collaborative research, especially during non-standard hours. These competencies enable you to contribute original findings, manage complex projects, and effectively communicate results within the academic community.

What is the difference between Overnight Computer Science Postdoc vs Research Scientist?

AspectOvernight Computer Science PostdocResearch Scientist
CredentialsPhD in Computer Science or related fieldMaster's or PhD, often with specialized expertise
Work EnvironmentAcademic or research institution, often with flexible hoursIndustry labs or corporate R&D, standard working hours
Employer & IndustryUniversities, research institutesTech companies, R&D divisions
Search & Comparison IntentUnderstanding academic vs industry roles, work hours, credentialsCareer transition, industry-specific roles

The Overnight Computer Science Postdoc typically involves academic research with flexible hours and a focus on advancing knowledge in computer science. In contrast, a Research Scientist usually works in industry, with standard hours and applied research goals. Both roles require advanced degrees, but their work environments and career paths differ significantly.

What cities near Flemington, NJ are hiring for Overnight Computer Science Postdoc jobs?

Cities near Flemington, NJ with the most Overnight Computer Science Postdoc job openings:

Senior Data Scientist

Novo Nordisk

Plainsboro, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Novo Nordisk rating

8.2

Company rating: 8.2 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

32nd of 86 rated pharmaceutical


Job description

About the Department 

The Finance & Operations department brings insights and intelligence to inform decision making & drives digitalization and business solutions to attain NNI goals. Finance & Operations works closely across the organization to guide enterprise-wide resource allocations, investment choices, drive core operations and develop insights to drive growth and operational excellence across the value chain while innovating for future capabilities. Our focus on innovation ensures we're constantly building future capabilities. We're responsible for regulating accounting, upholding workplace safety, managing our supply chain and sampling, supporting technological and data innovation, maintaining our facilities and assuring the integrity and completeness of all business transactions. At Novo Nordisk, you will have the opportunity to build a career in a global business environment. We encourage our employees to make the most of their talent, and we reward hard work and dedication with opportunities for continuous learning and personal development. Are you ready to maximize your potential with us?

The Position

The Senior Data Scientist will help drive the NNI Advanced Analytics vision to explore and develop new solutions that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate and commercial strategies. The Senior Data Scientist will build machine learning-based tools and processes within the company's current big data infrastructure such as recommendation engines, automated propensity scoring systems, and A/B testing procedures. The Senior Data Scientist will work with Novo Nordisks Big Data Analytics COE and other similar roles in Medical Information and Analytics, Medical Data Analytics, and HR People Research and Analytics to help foster and grow a community of predictive and prescriptive analytics.

Relationships

The Senior Data Scientist reports to the Director of Data Science. Internal relationships include other Commercial Effectiveness functions, especially Analytics and Data Governance; Big Data Analytics COE, Commercial Product and Portfolio personnel, and Area Commercial Leads. Extended internal relationships could include those in other Data Science/Data Science-like roles in Clinical, Medical, Regulatory, Human Resources, Global Development and Seattles Device Research center. External relationships include relationships with commercial collaboration partners as well as academia, where necessary.

Essential Functions

  • The Senior Data Scientist is expected to:
    • Develop Machine Learning-based solutions using available commercial data, including but not limited to, IQVIA (IMS) data, Real World Data (e.g., Truven), Financial Data, Sales Force Automation (e.g., Veeva) data, and integrated campaign management (e.g., Adobe) data
    • Build and maintain processes to acquire, process and curate necessary data for analysis and insights
    • Mine and analyze data to identify insights pertaining to dynamic and/or micro segmentation of patient, physician, and payer/delivery providers
    • Translate analytic insights into real world solutions
    • Design methods to generate real-time predictive and descriptive analytics from big datasets
    • Take responsibility in making new, relevant solutions to real Commercial problems and be able to show successful implementation
    • Occasionally participate in network with external collaboration partners, e.g., academia, other Pharmaceutical and Non-pharmaceutical Data Science departments specializing in improving commercial results through data science techniques

Physical Requirements

0-10% overnight travel required.

Qualifications

  • Education:  A minimum of a Bachelor's Degree within relevant field (e.g., Computer Science, Applied Mathematics, Physics, Engineering) 
    • Advanced degree may be substituted for experience as appropriate
  • 8 years of experience from relevant industry such as pharmaceutical, biotechnology, consumer product, or medical device industries. 
  • Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods. 
    • Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naml, Bayes, SVM, and Random Forest
  • Preferred knowledge related to how pharmaceutical companies market and sell products, market forces that impact decisions made to improve commercial outcomes, and how machine learning models can improve such outcomes
  • Excellent written and oral communication skills required
  • Proven ability to influence, communicate, and collaborate across the local organization
  • Broad, detailed understanding and mastery of technical area with a track record of analyzing critical data through the application and optimization of distinct analytical skills
  • Record of translating technical mastery to significant project impact
  • Ability to work independently as well as working in teams. Included in this is the ability to network with external parties
  • Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new solutions based on concepts
  • Deep knowledge of at least one relevant technical area: computer science, computational statistics, including Bayesian inference, mathematics, or systems dynamics
  • Required experience within several of the following areas:
  • Experience with analytics tools such Python, R, or SAS and SQL, PowerPivot

The base compensation range for this position is $120,300 to $222,600. Base compensation is determined based on a number of factors. This position is also eligible for a company bonus based on individual and company performance. Novo Nordisk offers long-term incentive compensation and or company vehicles depending on the position's level or other company factors.

Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its sick time policy, flex-able vacation policy, and parental leave policy.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.

If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.


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