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Weekend Machine Learning Postdoc Jobs in New Jersey

Occasional weekend and overtime opportunities with advance notice * National, industry-leading high ... proprietary machine learning, transforms data into actionable insights supporting revenue ...

Occasional weekend and overtime opportunities with advance notice * National, industry-leading high ... proprietary machine learning, transforms data into actionable insights supporting revenue ...

New

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Apply machine learning techniques to time-series data including feature engineering, model training ... Support production systems and participate in on-call rotations, including occasional weekend ...

Occasional weekend and overtime opportunities with advance notice * National, industry-leading high ... proprietary machine learning, transforms data into actionable insights supporting revenue ...

Manager, Quality Control Lab

Bloomsbury, NJ · On-site

$98K - $135K/yr

Occasional weekend and overtime opportunities with advance notice * National, industry-leading high ... proprietary machine learning, transforms data into actionable insights supporting revenue ...

... weekends. In addition to the specific responsibilities outlined above, employees may be required to ... modeling, machine learning, and computer science. * Demonstrated ability to quantify and ...

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Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are the most commonly searched types of Machine Learning Postdoc jobs in New Jersey? The most popular types of Machine Learning Postdoc jobs in New Jersey are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in New Jersey? For Weekend Machine Learning Postdoc jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in New Jersey look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in New Jersey are:
What cities in New Jersey are hiring for Weekend Machine Learning Postdoc jobs? Cities in New Jersey with the most Weekend Machine Learning Postdoc job openings:
Manager, Quality Control Lab

Manager, Quality Control Lab

QuVa Pharma

Bloomsbury, NJ

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


QuVa Pharma rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

63rd of 71 rated pharmaceutical


Job description

Our Manager Quality Control- Lab plays a vital role within our organization. Once you complete our training, your responsibilities will include managing daily activities, performance, and coaching and developing staff.  Coordinate analytical activities including method transfers and stability testing. Perform release testing for analytical studies. At Quva, you will be an essential part of a mission-driven organization dedicated to expanding critical access to quality, affordable medication and data insights while promoting a culture of innovation, collaboration, and continuous improvement Your attention to detail and adherence to precise procedures will guarantee that our medications meet the highest standards of safety, efficacy, and quality, providing patients with the best possible care and outcomes. Turn your passion for precision and your commitment to quality into a meaningful impact on healthcare across the US.

 What the Manager Quality Control -Lab Does Each Day:

  • Test and Release Finished Product routinely for Commercial lots for Potency, Endotoxin, and Sterility
  • Maintain accurate and complete notebook records for all method validation and investigational studies in accordance with SOPs, cGMP, and current GdP
  • Implement improvements to analytical test methods or to instrumentation
  • Write investigation report for OOS for Sterility results
  • Provide quality oversight of Laboratory
  • Responsible for assigned testing and work from beginning to end with minimal supervision
  • Write SOPs and follow policy, procedure and applicable government regulations, such as current Good Manufacturing Practices (cGMP), DEA compliance, quality standards and safety requirements
  • Communicate with Operation for Scheduling the QC Samples
  • Ensure that analytical methods are validated as efficiently as possible to ensure business milestones are met
  • Provide technical support on an as-needed basis as directed by Director of the Laboratories
  • Manage the budget for the Labs
  • Ensure testing is conducted in a safe manner including but not limited to the proper PPE and ventilation; Any safety issue must be brought to the attention of the Director immediately

Our Most Successful Manager Quality Control- Lab:

  • Has a sense of urgency, accountability and resourcefulness (e.g., work in changing environment)
  • Is a self-starter and independent learner
  • Promotes active listening with team members; Contributes appropriately to conversations; Has strong verbal and written communication skills with the ability to work effectively with other departments within the organization and with people at all levels of the organization
  • Understands how various issues affect each other and the outcome of projects; Improves upon existing approaches by seeking opportunities to creatively transform

Minimum Requirements for this Role:

  • BS. or M.S. degree in chemistry, biology or related field required
  • 5 years prior experience in Quality Assurance /Laboratory/ cGMP / FDA regulated industry
  • 3 years of supervisory or management experience required
  • 18+ years of age
  • Able to successfully complete a drug and background check
  • Must be currently authorized to work in the United States on a full-time basis; Quva is not able to sponsor applicants for work visas

Any of the Following Will Give You an Edge: 

  • Prior experience in Quality Assurance /Laboratory/ cGMP / FDA regulated industry

Benefits of Working at Quva:

  • Set, full-time, consistent work schedule
  • Comprehensive health and wellness benefits including medical, dental and vision
  • 401k retirement program with company match
  • 5 paid  PLP and 17 PTO days off plus 8 paid holidays per year
  • Occasional weekend and overtime opportunities with advance notice
  • National, industry-leading high growth company with future career advancement opportunities
  • The base compensation for this role is estimated to be within the range described below.  The compensation offered may vary depending on relevant factors such as experience, skills, training, education, certifications, geographic location, and market conditions
  • Range: $98,891 - $135,975  Annually
  • This role is also eligible for an annual incentive bonus, subject to program terms and guidelines

About Quva: 

Quva provides industry-leading health-system pharmacy services and solutions, including 503B sterile injectable outsourcing services and AI-based data software solutions that help power the business of pharmacy. Quva Pharma’s multiple production facilities and industry-first dedicated remote distribution capabilities provide ready-to-administer sterile injectable medicines critical to patient care. Quva BrightStream partners with health systems to aggregate, normalize, and analyze large amounts of complex data across their sites of care, and through proprietary machine learning, transforms data into actionable insights supporting revenue optimization, script capture, inventory management, drug shortage control, and more. Quva’s overall progressive and integrated platform helps health-systems transform pharmacy management to achieve greater value and deliver highest-quality patient care.

Quva is an equal opportunity employer and is committed to creating and maintaining a work environment that is free from all forms of discrimination and harassment. Quva's Equal Opportunity Policy prohibits harassment or discrimination due to age, ancestry, color, disability, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, race, religious creed, sex (including pregnancy, childbirth, breastfeeding, and any related medical conditions), sexual orientation, and any other characteristic or classification protected by applicable laws. All employment with Quva is “at will.”

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