applied scientist, artificial general intelligence, agi data services

applied scientist, aws automated reasoning

data scientist - data-driven global investment firm

2nd shift quality control specialist (contract) 28670

applied scientist, artificial general intelligence, agi data services Jobs in Boston

applied scientist, aws automated reasoning Jobs in Boston

associate data scientist

business analyst

data scientist - data-driven global investment firm Jobs in Boston

data scientist

Manulife

<div><p>We are seeking a motivated Associate Data Scientist to join the Long Term Care (LTC) Fraud, Waste &amp; Abuse (FWA) Advanced Analytics team. In this role, you will contribute to the development and deployment of data-driven and AI-powered solutions that help detect fraud, protect policyholders, and improve operational efficiency.
</p><p></p><p>You will work under the guidance of senior data scientists and collaborate closely with business partners, data engineers, and ML engineers to translate fraud and risk problems into scalable analytical solutions. This role offers strong opportunities for mentorship, hands-on learning, and professional growth in applied machine learning and AI, including exposure to Generative AI use cases.
</p><p></p><p><b>Position Responsibilities:
</b></p><p></p><p><b>Modeling &amp; Analytics
</b></p><ul><li>Support the development and enhancement of fraud detection and risk analytics models, including statistical models, anomaly detection, and machine learning approaches.
</li><li>Perform exploratory data analysis on large and complex datasets to identify fraud patterns, trends, and data quality issues.
</li><li>Assist in training, evaluating, and monitoring machine learning models to ensure performance and stability in production environments.
</li></ul><p></p><p><b>AI &amp; Emerging Technology Exposure
</b></p><ul><li>Contribute to Generative AI initiatives such as prompt engineering, RAG (Retrieval‑Augmented Generation) pipelines, or document‑understanding use cases under senior guidance.
</li><li>Help prepare and structure data for LLM‑based applications, including extracting information from complex documents (e.g., multi‑column text, tables).
</li><li>Stay curious and continue learning about advancements in machine learning, generative AI, and cloud-based analytics tools.
</li></ul><p></p><p><b>Collaboration &amp; Communication
</b></p><ul><li>Partner with senior data scientists, engineers, and business stakeholders to understand requirements and deliver analytical solutions.
</li><li>Clearly document analyses, models, and assumptions to support knowledge sharing and auditability.
</li><li>Communicate insights and results to both technical and non‑technical audiences with guidance and support.
</li></ul><p></p><p><b>Required Qualifications:
</b></p><p></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
</li><li>0&ndash;3 years of hands-on experience in data science, machine learning, or AI.
</li><li>Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit learn, PyTorch, or similar).
</li><li>Proficiency in SQL and relational databases; exposure to big data or cloud platforms is a plus.
</li><li>Familiarity with Generative AI concepts (LLMs, prompt engineering, embeddings, RAG) through coursework or projects.
</li></ul><p></p><p><b>Preferred Qualifications:
</b></p><p></p><ul><li>Experience with version control (e.g., Git) and basic software engineering best practices.
</li><li>Strong analytical and problem solving skills with attention to detail.
</li><li>Good communication skills and the ability to work effectively in cross functional teams.
</li><li>Eagerness to learn, take feedback, and grow in a collaborative environment.
</li></ul><p></p><p><b><i>When you join our team:
</i></b></p><p></p><ul><li>We&rsquo;ll empower you to learn and grow the career you want.
</li><li>We&rsquo;ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
</li><li>As part of our global team, we&rsquo;ll support you in shaping the future you want to see.
</li></ul><p></p><p>#LI-Hybrid
</p><p></p><p>The role being advertised is an existing vacancy.
</p><p></p><p><b>About Manulife and John Hancock
</b></p><p></p><p>Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html .
</p><p></p><p><b>Manulife is an Equal Opportunity Employer
</b></p><p></p><p>At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
</p><p></p><p>It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com .
</p><p></p><p><b>Referenced Salary Location
</b></p>Boston, Massachusetts
<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Working Arrangement
</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>Hybrid
<p></p><p><b>Salary range is expected to be between
</b></p>$80,625.00 USD - $134,375.00 USD
<p></p><p>Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
</p><p></p><p>Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&amp;D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
</p><p></p><p>We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement .
</p><p></p><p>Know Your Rights <b>I </b><b>Family &amp; Medical Leave </b><b>I </b><b>Employee Polygraph Protection </b><b>I </b><b>Right to Work </b><b>I </b><b>E-Verify
</b></p><p></p>Company: John Hancock Life Insurance Company (U.S.A.)</div>

Associate Data Scientist

Spotify

<div><div><div><div><div><div>Support &amp; Operations</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York or Boston</div></div><div><div><p>
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.</p>
<p>
Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust &amp; Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&amp;D teams to confidently expand into new products, markets, and technologies.</p>
<p>
PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes.</p>
<p>
We aim to keep safety upstream of moderation by shaping product design before launch and measuring how features perform once they reach users.</p></div></div></div><div><div><p>
What You'll Do</p><ul><div>
<ul>
<li>Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations</li>
<li>Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences</li>
<li>Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time</li>
<li>Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences</li>
<li>Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, &ldquo;no regrets&rdquo; design</li>
<li>Build and improve evaluation methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers</li>
<li>You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership.</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain</li>
<li>You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence</li>
<li>You have hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design</li>
<li>You are comfortable scoping ambiguous problems, including early-stage or zero-to-one research areas, and prioritizing them in a fast-moving environment</li>
<li>You communicate clearly with both technical and non-technical audiences, including explaining methodological choices to policy partners and leadership</li>
<li>You care about turning research into practice and are comfortable making concrete, evidence-based recommendations</li>
<li>You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be</p><ul><div>
<ul>
<li>This role is based in New York or Boston</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
<li>This team operates within the Eastern Standard time zone for collaboration</li>
</ul>
</div></ul></div></div><div><div><p>Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $117,000 &ndash; $167,000 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist II, Trust & Safety

Andiamo

<div>
 Data Scientist
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 When you work in this role, you&rsquo;ll tackle tough problems alongside other scientists and engineers&mdash;people who will challenge your ideas, share knowledge, and collaborate on impactful projects. You&rsquo;ll be doing work that matters, developing solutions to complex real-world problems using data, invention, and rigorous inquiry.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Independently research and develop hypotheses based on diverse real-world datasets.
  </li>
  <li>
   Conduct literature reviews to apply cutting-edge methodologies for extracting meaningful signals from data.
  </li>
  <li>
   Partner with engineers and stakeholders to rigorously explore and test your theories.
  </li>
  <li>
   Stay engaged in the academic community by joining reading circles and attending seminars to keep up with the latest research.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1&ndash;5+ years of experience in applied data analysis and prediction, preferably in an industry setting.
  </li>
  <li>
   Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science.
  </li>
  <li>
   Proficiency in Python and SQL.
  </li>
  <li>
   Experience conducting in-depth research projects involving real-world data.
  </li>
  <li>
   Ability to think independently, approach analysis creatively, and communicate complex ideas clearly.
  </li>
  <li>
   Background in finance is not required&mdash;strong research skills are most important.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life and disability insurance.
  </li>
  <li>
   Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms.
  </li>
  <li>
   Learning: Tuition reimbursement, conference and training sponsorship.
  </li>
  <li>
   Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves.
  </li>
  <li>
   Hybrid Work Policy: Flexible in-office days with budget for home office setup.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The base pay for this role will be between
 <strong>
  $165,000 and $300,000
 </strong>
 . This role may also be eligible for additional forms of compensation and benefits such as discretionary bonuses, health and wellness plans, and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation will depend on skills, qualifications, and experience.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - Data-Driven Global Investment Firm

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Dana-Farber Cancer Institute

<div><div><div><div>Job Ref:</div><div>
JR-4346</div></div><br>
<div><div>Location:</div><div>
450 Brookline Ave, BOSTON, MA 02215</div><br>
</div>
<div><div>Category:</div><div>
Research Laboratory</div></div><br>
<div><div>Employment Type:</div><div>
Full time</div></div><br>
<div><div>Work Location:</div><div>
Hybrid: 2-3 days onsite/week</div></div><br>
<div></div><div><div>Salary/Pay Rate:</div><div>
$85,000.00 - $104,650.00 per year</div>
</div></div><p><b>Overview</b></p>
<p></p><div><div>The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated Scientist II to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high-dimensional cytometry data. The successful candidate will play a key role within the team in processing, analyzing, and modeling complex biomedical data &mdash; integrating spatial imaging, CyTOF, and clinical data &mdash; to enable discovery and translational research collaborations within the CIO.<br>
<br>
Environment and Opportunities<br>
<br>
The position offers opportunities to collaborate across a diverse set of projects within the Center for Immuno-Oncology (CIO), working closely with experts in computational biology, immunology, and clinical research. The Scientist II will sit within the Department of Data Science (DS) and be mentored by faculty directors from both CIO and DS. They will contribute within a small team to data-driven discovery, developing robust and scalable analytic tools for translational research.<br>
<br>
Key Duties and Responsibilities<br>
<br>
<ul><li>Perform imaging and image analysis for spatial proteomics and multiplexed imaging datasets.</li><li>Conduct CyTOF and FCS data analysis, including data preprocessing, normalization, clustering, and visualization.</li><li>Analyze medical record data, integrating structured and unstructured clinical information as appropriate.</li><li>Manage and wrangle large, multimodal datasets, including high-resolution images and patient-level data.</li><li>Support database integration, including interoperability and linkage with REDCap and other institutional data systems.</li><li>Provide analytic and statistical support for CIO projects &mdash; emphasizing development of custom models, analytical pipelines, and reproducible outputs for collaborative teams.</li><li>Develop and deliver high-quality graphics and visualizations to communicate findings effectively to both scientific and clinical collaborators.</li></ul><br>
Required Skills and Qualifications<br>
<br>
<ul><li>Experience working in computational biology. Human immuno-oncology research in an academic or industry setting analyzing clinical trial biomarkers is a plus.</li><li>Hands-on experience with image analysis and processing, particularly in biological or clinical imaging contexts.</li><li>Proficiency in R and/or Python, with experience in reproducible data analysis workflows.</li><li>Demonstrated ability in data wrangling, transformation, and integration of heterogeneous data sources.</li><li>Understanding of statistical modeling and computational methods for large datasets.</li><li>Experience working in Unix/Linux cluster environments, using Git/GitHub, and containerized workflows (e.g., Docker, Singularity).</li><li>Proficiency with reproducible research and reporting tools such as Jupyter, R Markdown, Quarto, and Posit Connect (or similar).</li><li>Strong communication and collaboration skills, including ability to document, present, and explain complex analyses to multidisciplinary teams.</li></ul><br>
Preferred Qualifications<br>
<br>
<ul><li>Advanced degree (PhD) preferred in computational biology, data science, bioinformatics, biostatistics, biomedical engineering or a related field.
</li><li>Experience with spatial omics, single-cell data, or multimodal integration in human disease contexts.</li><li>A good working knowledge of molecular and disease biology, especially familiarity with immunology.</li><li>Familiarity with medical informatics, clinical data standards, or REDCap API/database programming.</li></ul><p>
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.</p><p><b><br>
Primary Duties and Responsibilities</b></p><ul><li>
Demonstrates potential for technical proficiency, scientific creativity, collaboration with others and independent thought.
</li><li>Works on problems of moderate to large scope in which analysis of situation or data requires a review of identifiable factors.
</li><li>Exercises judgment within defined procedures and practices to determine appropriate action.</li><li>
Works under minimal supervision. Wide latitude for independent judgment</li></ul><p><b>
Knowledge, Skills and Abilities</b></p><ul><li>
Highly-skilled with extensive proficiency. Works on complex projects related to field.</li></ul><p><b>
Minimum Job Qualifications</b></p><ul><li>
Advanced degree preferred.</li><li>
Six to nine years experience post undergraduate degree.</li><li>
One to two year work experience post education.</li></ul><p><b>
License/Certification/Registration Required:</b> None</p><p><b>
Supervisory Responsibilities:
</b></p><ul><li>May assist less-experienced peers.</li></ul><p><b>
Patient Contact: </b>None</p><p>
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to .</p><p>
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
</p><h3 class="jobSectionHeader"><b>EEO Poster</b></h3>
.<p>
Pay Transparency Statement</p><p>
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate&rsquo;s relevant experience, skills and qualifications.</p><p>
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).</p>
$85,000.00 - $104,650.00</div></div></div><p></p>

Scientist, Computational Imaging and Data Analysis

The General Hospital Corporation

<div>Site: The General Hospital Corporation<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><p></p><p><b><br>
Job Summary</b></p>
Summary-Responsible for extracting knowledge and insights from data in order to investigate business/operational problems through a range of data preparation, modeling, analysis, and/or visualization techniques.<br>
Essential Functions-Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues.
<br>
<ul><li>Collates, models, interprets, and analyzes data.
</li><li>Explains variances and trends in data.
</li><li>Identifies and documents enhancements to modeling techniques.
</li><li>Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work.</li><li>Performs data validation of source-to-target data for data visuals and dashboards.</li></ul><p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><p>
Education</p><ul><li>
B.S. in Computer Science, Mathematics, Data Science, Statistics, Computational Biology, or related field</li></ul><p><b><br>
**When applying, please include a cover letter along with your resume. Applications that do not include both components will NOT be considered.**</b><br>
<br>
Experience<br>
Job Qualifications Include the following:</p><ul><li>
Demonstrated experience with Python, R, JavaScript, or similar scripting language</li><li>
Familiarity with software development focused on performance and efficient resource utilization</li><li>
Basic familiarity with C/C++ and ability to expand expertise</li><li>
Comfortable with cross-platform software development (macOS, Windows, and Linux)</li><li>
Quick to learn new technologies and scientific concepts</li></ul><p></p><p>
One or more of the following desired but not required:</p><ul><li>
Interest in medicine, health policy and/or public health</li><li>
Professional development experience with C/C++ or other general purpose programming language</li><li>
Web app, GUI, and/or data visualization development experience</li><li>
Experience developing software that utilizes parallel computing techniques</li><li>
High performance cluster computing experience</li><li>
Linux/Windows systems administration</li><li>
Experience in computational statistics, Bayesian methods, and/or probability theory</li></ul><div><br>
Knowledge, Skills and Abilities<br>
<ul><li>Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required.</li><li>Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.</li><li>Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.</li><li>Project management skills and/or experience are a plus.</li><li>Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.</li></ul></div><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p>
Do you want the code you write to have global social impact? To work on projects that are directly focused on improving human health? Our research group at Massachusetts General Hospital seeks a talented, motivated, full-time scientific programmer/software developer to join our team. We collaborate with health organizations and research groups around the world to inform health policy by using simulation models to project health outcomes and conduct clinical and public health decision analyses, including cost-effectiveness, probabilistic sensitivity, and value of information analyses. We work on a wide variety of projects, focusing on both infectious diseases (e.g., HIV/AIDS, tuberculosis, and congenital cytomegalovirus) and non-communicable diseases (e.g., diabetes, health impacts of e-cigarettes/smoking). As a programmer in our group, you will have the opportunity to learn about public health issues while using your software skills to help solve global health problems.</p><p>
Interested candidates should apply via www.massgeneral.org/careers.</p><p>
**When applying, please include a cover letter along with your resume. Applications that do not include both components will NOT be considered.**</p><p>
For more information regarding our group, please visit https://mpec.massgeneral.org.</p><p>
As part of a small team of programmers embedded within a public health and health policy research group, you may contribute to a variety of programming and software development tasks including, for example:</p><ul><li>Developing and maintaining decision-analytic simulation models across the lifespan for HIV, tuberculosis, diabetes, cardiovascular disease, congenital cytomegalovirus, ANCA-associated vasculitis, e-cigarette use, and/or smoking through:</li></ul>
o Coding, debugging, and testing new features<br>
o Optimizing models, with a focus on speed and memory usage<br>
o Developing user interfaces for model input/output<br>
o Consulting with research personnel on model structure and parameterization<br>
<ul><li>Developing new and existing user interfaces, web apps, and data analysis/visualization tools</li><li>Meeting regularly with research personnel to devise innovative and scientifically appropriate solutions to modeling and data analysis challenges</li><li>Working with research personnel to identify workflow issues and develop technical solutions, such as automated scripts or improved user interfaces</li><li>Serving as a technical liaison for external collaborators and model developers</li><li>Contributing to grant proposals by consulting on technical/programming aspects</li><li>Contributing to and acting as co-author on scientific manuscripts and publications (if interested)</li><li>Producing documentation for technical and non-technical audiences</li><li>Assisting researchers with software-related questions and issues, including tasks related to Linux/Windows system administration and high-performance computing cluster usage</li></ul><p></p><p>
Duties will be carried out primarily in a typical office environment, with the potential option for some remote work. We value work-life balance and hours will be a standard 40 hours per week from Monday-Friday. Hours outside the 9-5 workday may be required on occasion, particularly around external deadlines for grants or manuscripts.</p><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Onsite<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
100 Cambridge Street<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$63,648.00 - $90,750.40/Annual<p></p><p><b><br>
Grade</b></p>
6<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Programmer Analyst

WilmerHale

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
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 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
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 <br/>
 <strong>
  What You Will Be Doing
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  <br/>
 </strong>
 <ul>
  <li>
   Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
  </li>
  <li>
   Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
  </li>
  <li>
   Optimizes existing generative AI models for improved performance, scalability, and efficiency.
  </li>
  <li>
   Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
  </li>
  <li>
   Contributes to the establishment of best practices and standards for AI development within the organization.
  </li>
  <li>
   Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
  </li>
  <li>
   Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
  </li>
  <li>
   Provides technical mentorship and guidance to other team members.
  </li>
  <li>
   Creates and delivers end-user training and documentation and provides second-line support to other users.
  </li>
  <li>
   Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
  </li>
  <li>
   Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
  </li>
  <li>
   Participates in special projects and performs other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <strong>
  What You Will Bring to This Position
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
  </li>
  <li>
   Experience building recommendation models.
  </li>
  <li>
   Strong knowledge of data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Familiar with cloud-based platforms and services, such as Azure or AWS.
  </li>
  <li>
   Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
  </li>
  <li>
   Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
  </li>
  <li>
   Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
  </li>
  <li>
   Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
  </li>
  <li>
   Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
  </li>
  <li>
   Willingness and ability to learn and use new technologies as the need arises.
  </li>
  <li>
   Ability to work effectively with both users and technical staff in team-oriented environments.
  </li>
  <li>
   Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
  </li>
  <li>
   Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
  </li>
  <li>
   A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
  </li>
  <li>
   Hands-on experience with LLMs fine-tuning is a plus.
  </li>
  <li>
   Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
  </li>
  <li>
   The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
  </li>
  <li>
   2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
  </li>
  <li>
   4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
  </li>
  <li>
   Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Commitment
  <br/>
  <br/>
 </strong>
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 <br/>
 <br/>
 For more information about Equal Employment Opportunity, please click here.
 <br/>
 <br/>
 Hire in salary range is $135,000 - $169,000
 <br/>
 <br/>
 <ul>
  <li>
   For additional information about our benefits, please click here
   <br/>
   <br/>
  </li>
 </ul>
 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
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 <br/>
</div>


Artificial Intelligence (AI) Engineer

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