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Expanded Learning Jobs in Massachusetts (NOW HIRING)

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · On-site +1

$140K - $190K/yr

You'll also help expand our AI knowledge base architecture to support these innovative solutions ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

SFB

Learning Specialist - Retail Banking Systems

Salem, MA · On-site

$65K - $85K/yr

Ensure effective adult learning environments for all programs by taking appropriate measures and ... Ability to build and expand strong working relationships throughout the organization in support of ...

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Expanded Learning information

What are 'Expanded Learning' programs?

Expanded Learning programs refer to educational opportunities that take place outside of the traditional school day, such as afterschool, summer, or weekend programs. These initiatives aim to support student growth by providing academic enrichment, hands-on learning experiences, and social-emotional development. Expanded Learning programs often partner with schools and community organizations to offer activities ranging from STEM projects to sports and the arts. Their goal is to complement classroom learning and help students succeed both academically and personally.

What are the key skills and qualifications needed to thrive as an Expanded Learning professional, and why are they important?

To thrive in Expanded Learning, you need a background in education, youth development, or a related field, often supported by a relevant degree or certification. Familiarity with curriculum planning tools, student assessment systems, and educational technology is typically required. Strong communication, leadership, and relationship-building skills help foster positive learning environments and engage diverse student populations. These skills ensure effective program delivery, student growth, and alignment with educational goals in after-school or enrichment settings.

What is the difference between Expanded Learning vs After School Program Coordinator?

AspectExpanded LearningAfter School Program Coordinator
Required CredentialsHigh school diploma or equivalent; some roles may require additional certificationsHigh school diploma or equivalent; often requires experience in youth programs
Work EnvironmentCommunity centers, schools, non-profit organizationsSchools, community centers, non-profit organizations
Job FocusProviding educational, enrichment, and recreational activities outside regular school hoursPlanning, organizing, and supervising after school activities and staff

Expanded Learning refers to programs that offer educational and enrichment activities outside regular school hours, often focusing on student development and community engagement. An After School Program Coordinator manages these programs, overseeing staff and activities to ensure a safe and productive environment. While both roles involve working with youth in after school settings, Expanded Learning emphasizes the program's scope and educational goals, whereas the Coordinator role centers on administration and supervision.

What are the typical responsibilities of an Expanded Learning professional on a daily basis?

Expanded Learning professionals typically design, implement, and oversee enrichment programs that support students' academic, social, and emotional growth outside traditional school hours. Daily tasks may include planning engaging activities, supervising students, collaborating with teachers and community partners, and monitoring program effectiveness. They also manage logistics such as attendance, safety protocols, and communication with families, ensuring a safe and supportive environment. Collaboration with school staff and ongoing professional development are common, allowing for both individual and team-based growth.
Expanded Learning jobs near you
Infographic showing various Expanded Learning job openings in Massachusetts as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Applied Machine Learning/AI Scientist

Applied Machine Learning/AI Scientist

Repertoire Immune Medicines

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Job description

Applied Machine Learning/AI ScientistRepertoire Immune Medicines is a clinical-stage biotechnology company harnessing the power of the human immune system to develop transformative therapies for cancer and autoimmune disease. Using its proprietary DECODETM platform—which maps the immune synapse between T cell receptors (TCRs) and their antigen targets—Repertoire translates unique biological insights into potent and targeted off-the shelf immune medicines. The company integrates deep protein engineering expertise with artificial intelligence, powered by a proprietary DECODE database of over one billion TCR-antigen interactions, to accelerate discovery and optimize drug candidates.
From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire is advancing a pipeline of T cell-targeted immunotherapies with the potential to address a broad range of cancers and autoimmune disorders. The company’s lead oncology program, RPTR-1-201, a TCR bispecific, has initiated a Phase 1/2 clinical trial across multiple solid tumor indications. Repertoire plans to advance additional TCR bispecific therapies into clinical trials over the next 12-18 months. In autoimmune disease, Repertoire is partnering with leading pharmaceutical companies to develop mRNA tolerizing therapies designed to selectively expand regulatory T cells and reset the immune system.
Repertoire was founded in 2019 by Flagship Pioneering and is supported by a strong investor base. The DECODE platform has been validated through four strategic partnerships with leading pharmaceutical companies—Bristol Myers Squibb, Genentech, Eli Lilly, and Pfizer—representing over $4.5 billion in disclosed total deal value and $185 million in upfront payments received to date.Role OverviewRepertoire Immune Medicines is seeking an Applied Machine Learning Scientist to join the Artificial Immune Intelligence team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the intersection of applied machine learning, statistics, computational biology, and data science with broad impact across early discovery, candidate development, and biomarker discovery efforts.
This position offers a unique opportunity to apply and advance state‑of‑the‑art computational methods—including protein language models, structural modeling, and deep learning—to better understand the immune response and leverage these insights to develop transformational immune medicines. The successful candidate will collaborate closely with experimental, clinical, and computational colleagues to translate computational insights into therapeutic candidates and biomarker strategies.Key Responsibilities
  • Assist in the conception, development, optimization, and evaluation of machine learning models to better understand the TCR–peptide‑MHC interface.
  • Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development.
  • Work alongside other machine learning scientists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
  • Maintain familiarity with current scientific literature to assist in the development and benchmarking of new methods.
  • Communicate findings both internally and externally via presentations and publication.
Qualifications/Experience
  • PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, immunology, genetics, cancer biology, or a related quantitative field; or a Master’s degree with 3+ years of relevant industry or academic experience.
  • Demonstrated ability to deliver impact in cross‑functional, multidisciplinary scientific teams.
  • Hands‑on experience with protein language models (PLMs), structural modeling, or related ML approaches for biological data.
  • Familiarity with evaluating and interpreting predicted protein structures, including interface confidence metrics (e.g., pTM, ipTM), and incorporating structural features into machine learning workflows.
  • Strong programming skills in Python, including experience with scientific and ML libraries such as NumPy, SciPy, pandas, PyTorch, and/or TensorFlow.
  • Proven ability to analyze and model complex, high‑dimensional biological datasets using sound computational and statistical practices to drive novel insights.
  • Track record of contributing to scientific publications or equivalent technical outputs (e.g., preprints, conference papers, internal technical reports).
  • Intellectual curiosity, scientific rigor, and enthusiasm for working in a fast‑paced, evolving research environment.
Preferred Qualifications
  • Experience working with TCR-pMHC binding is a strong plus as well as a background in immunology/immuno-oncology.
  • Practical experience with PLM fine-tuning, embedding extraction, and attention-based interpretation for downstream biological tasks (e.g. binding prediction, fitness landscapes, mutational scanning).
  • Experience with structural modeling tools and frameworks, including protein structure prediction (AlphaFold2/3, RoseTTAFold, ESMFold), structure-based design (ProteinMPNN, RFdiffusion), and/or graph neural networks operating on 3D protein coordinates (e.g. GCN, raph Transformers, GVP-GNN).

The base salary for this role ranges from $134,000 to $160,000 and is determined based on a candidate’s skills, experience, and internal equity. In addition to a competitive base salary, Repertoire offers a broad range of benefits designed to attract, retain, and motivate top talent, including medical, dental, vision, and life insurance, flexible time off, a 401(k) retirement plan, and short- and long-term incentive opportunities. Compensation and benefits are based on Repertoire’s good faith estimate at the time of publication and may be updated in the future.
 
Repertoire is committed towards social responsibility and developing an inclusive culture.  Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire.  We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference.
Repertoire is proud to be an Equal Opportunity Employer.
 

Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.
 

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