Apprentice Machine Learning Testing Jobs in Woodbury, NJ

The Temple University's Lewis Katz School of Medicine's Neurology Department is searching for a Data Scientist to join our team!
Become a part of the Temple family and you will have access to the following:
Full medical, dental, vision coverage
Paid time off
11 Paid Holidays
Tuition remission - eligible employees and their dependents can obtain a degree TUITION FREE
A generous retirement plan and so much more!
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Salary Grade: T26
Learn more about the "T" salary structure .
Salary Range: $60,000 to $70,000
A variety of important factors are reviewed by HR when considering salary, including job duties, the applicant's education and experience, all relevant internal equity considerations, department budget, and funding source.
Job Details:
*This is a grant-funded position
*This position requires a background check prior to commencement of service.
*This is an hybrid position.
Position Summary:
The ALS Center of Hope at Temple University is seeking an experienced Data Scientist to help organize, integrate, and analyze the complex datasets driving our ALS research program. This role sits at the intersection of clinical neuroscience and modern machine learning, supporting work that ranges from natural history data curation to our gene-by-environment (GxE) studies and the translation of animal genetic modifier findings into human ALS data.
The successful candidate will design and maintain scalable machine learning pipelines across on-premises and cloud environments, integrate new data sources as our multi-modal datasets grow, and fine-tune foundation models for research applications. They will also mentor colleagues and help translate emerging methods into practical tools for our team.
This is an opportunity to apply cutting-edge data science directly to one of the most challenging problems in neurology, working alongside a collaborative team dedicated to understanding and ultimately defeating ALS.
Required Education and Experience:
*Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field
*Minimum of 2 years of directly related experience in Data Science, Machine Learning, or related fields.
*An equivalent combination of education and experience may be considered.
Responsibilities:
*Design, develop, and implement end-to-end machine learning production pipelines for on-premises and cloud-based workflows
*Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
*Fine-tune foundation models and continuously monitor their performance
*Mentor team members and contribute to a collaborative, high-performance development environment
*Apply emerging research to practical use cases, staying current with advancements in machine learning and ALS research
*Perform other duties as assigned
Required Skills and Abilities:
*Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
*Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring
*Proven experience in designing and implementing machine learning solutions at scale on AWS or similar cloud platforms
*Strong understanding of probability theory, statistics, and experimental design
*Experience with staged deployment for both development testing and model segregation
Preferred Qualifications:
*4+ years of experience in Data Science, Machine Learning, or related fields.
*Experience with HIPAA, IRB, and other healthcare data compliance frameworks
*Hands-on experience in medical research python libraries (e.g., MNE-python, NiBabel, DiPY, etc.)
*Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies
*Hands-on experience in Retrieval-Augmented Generation (RAG)
*Experience in creating databases, data warehouses, and data lakes for multi-modal datasets
*Proficiency in business intelligence (BI) tools and data visualization.
*Professional cloud certification preferred (i.e. AWS SAA-C03 level or above)
Temple University is committed to a policy of equal opportunity for all in every aspect of its operations, including employment, service, and educational programs. The University has pledged not to discriminate on the basis of age, color, disability, marital status, national origin or ethnic origin, race, religion, sex (including pregnancy), sexual orientation, gender identity, genetic information or veteran status.
Compliance Statement:In the performance of their functions as detailed in the position description employees have an obligation to avoid ethical, legal, financial and other conflicts of interest to ensure that their actions and outside activities do not conflict with their primary employment responsibilities at the institution. Employees are also expected to understand and be in compliance with applicable laws, University and employment policies and regulations, including NCAA regulations for areas and departments which their essential functions cause them to interact.
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