alpha data services – product analyst 6 months full-time internship (jul- dec 2026)

applied scientist, artificial general intelligence, agi data services

2nd shift quality control specialist (contract) 28670

accounting associate

agentic ai engineer

ai training experts - boston, us Jobs in Boston

ai training experts - boston, us

alpha data services – product analyst 6 months full-time internship (jul- dec 2026) Jobs in Boston

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

associate 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

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

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

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

Alexion Pharmaceuticals

<div><div><div>Location: Boston, United States
</div><div>Job reference: R-249691</div>
<div>Date posted: 04/08/2026</div>
</div><div><p><b>This is what you will do:
</b></p><p>The Associate Director, Sales Operations and Business Insights will play a critical role in the success of Alexion&rsquo;s US business and the Commercial Operations organization. This individual will develop and lead processes that drive Commercial Insights, Business Informatics, Sales Excellence and Marketing Excellence in the US Market. Additional responsibilities will include ensuring that consistent and high-quality business operations support is provided to multiple stakeholders such as US Business Unit and Marketing Leaders. This role will participate in strategy development and be responsible for implementation of US Commercial Operations initiatives.</p><p><b>
You will be responsible for:
</b></p><p>The Associate Director will also be involved in some Strategic projects which will build on their existing skillset and will provide opportunities for further development.</p><p>
Specifically, the position will entail the following responsibilities:</p><ul><li>
Provide support to US Commercial Operations team ensuring activities are aligned with Commercial objectives</li><li>
Conduct analysis of sales data and activity data as well as integrating data on all relevant KPIs/metrics to uncover business drivers &amp; barriers and identify trends</li><li>
Be a Strategic Partner to the brand teams and actively participate in their brand team meetings, and integrate ways of working with commercial operations colleagues.</li><li>
Undertake analytics on sales force activity to provide insights on a regular basis.</li><li>
Assess effectiveness of targeting and effort allocation in order to make recommendations to increase effectiveness</li><li>
Play a key role in preparation of and during the Quarterly Business Reviews and Monthly Business Reviews (national and subnational)</li><li>
Provide robust Sales and Marketing Insights by leveraging internal/external data sources, and AZ ChatGPT as appropriate, and providing access to this information via dashboards, reports and Marketing tools.</li><li>
Make recommendations for system changes in the CRM system to support sales and marketing activities</li><li>
Provide support and recommendations for sales force size, structure and alignments</li><li>
Collaborate and partner with Senior Leaders in the US Business Unit, Market Access and Diagnostics, Medical, Logistics, Pharmacovigilance, Regulatory, Compliance, and Finance to support the achievement of strategies, key objectives and business needs in a compliant way.</li><li>
Provide operational and analytical support for marketing programs such as speaker programs and related marketing events.</li><li>
Facilitate a culture of planning and project management, using consistent tools and approaches and ensure that work is tracked, prioritized and resourced effectively.</li><li>
Maintain a compliant mindset to ensure all operational tasks are compliant and that appropriate analyses are performed to evaluate performance.</li></ul><p><b>
You will need to have:</b></p><ul><li>
Bachelor&rsquo;s degree in a relevant field,</li><li>
6 years in pharmaceutical/biotech industry with commercial experience in market research, sales, sales leadership, marketing, and business operations, informatics and analytics</li><li>
Broad experience and demonstrated skills including US market experience, project management, negotiation, advanced experience in statistical analysis, excellent oral and written communication and presentation skills</li><li>
Proven experience with CRM, alignment and analytical applications</li><li>
Experience with external data such as claims data, EMR and 3rd party practitioner data</li><li>
The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.</li></ul><p><b>
We would prefer for you to have:</b></p><ul><li>
MBA or advanced quantitative discipline degree</li><li>
Prior experience in rare disease</li></ul><p><i>
The annual base pay (or hourly rate of compensation) for this position ranges from $147,908 to $221,862. Our positions offer eligibility for various incentives&mdash;an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.</i></p><p><b>
Date Posted</b></p>
08-Apr-2026<p><b>
Closing Date</b></p>
21-Apr-2026<p>
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.</p></div></div><p></p>

Associate Director, US Sales Operations and Business Insights – Rare Bone and Endocrine Disorders

The Hollister Group

<div>
 <p>
  <strong>
   Compliance Associate
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Overview:
  </strong>
 </p>
 <p>
  Our client, a prestigious law firm, is seeking a diligent and detail-oriented Compliance Associate to join their dedicated team. This role offers a unique opportunity to work within a collaborative environment that emphasizes work-life balance, professional growth, and community engagement. You will play a vital part in ensuring the firm remains compliant with regulatory standards, supporting critical functions that uphold the company's integrity and reputation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
 </p>
 <p>
  $80,000 - $110,000 yearly salary
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate closely with the Chief Compliance Officer to manage SEC and banking reporting and compliance tasks
  </li>
  <li>
   Contribute to the SEC and bank examination processes, including follow-up actions
  </li>
  <li>
   Oversee the timely preparation and submission of federal and state regulatory filings, ensuring adherence to relevant requirements such as Form ADV, Form CRS, and Form U4/U5
  </li>
  <li>
   Maintain and update the compliance calendar to track important deadlines
  </li>
  <li>
   Support the annual custody and SOC 1 audits with accurate documentation and coordination
  </li>
  <li>
   Manage the firm's pre-clearance policies, providing guidance and responding to employee inquiries
  </li>
  <li>
   Monitor trading activities, investigate alerts, and resolve violations
  </li>
  <li>
   Keep track of and communicate updates related to restricted securities and compliance policies
  </li>
  <li>
   Maintain accurate compliance records, documentation, and databases
  </li>
  <li>
   Generate reports on key compliance activities and ensure data accuracy
  </li>
  <li>
   Stay informed on regulatory changes, communicating and implementing updates across teams
  </li>
  <li>
   Liaise with internal personnel, external service providers, and regulatory agencies as needed
  </li>
  <li>
   Assist with miscellaneous compliance and risk mitigation activities
  </li>
  <li>
   Review and recommend process improvements to strengthen adherence to laws, regulations, and policies
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   2 to 4 years of experience in compliance within legal, investment advisory, broker-dealer, banking, or fiduciary services settings
  </li>
  <li>
   Bachelor&rsquo;s degree or higher, with relevant professional experience
  </li>
  <li>
   Familiarity with the Investment Advisers Act of 1940 (preferred)
  </li>
  <li>
   Knowledge of fiduciary trust operations or investment businesses (preferred)
  </li>
  <li>
   Understanding of banking laws, including anti-money laundering and the bank secrecy act (preferred)
  </li>
  <li>
   Awareness of privacy laws and related regulations (preferred)
  </li>
  <li>
   IACCP&reg; designation is a plus
  </li>
  <li>
   Strong written and verbal communication skills with the ability to exercise tact and professionalism
  </li>
  <li>
   Advanced proficiency with Microsoft Office Suite, with adaptability to new software applications
  </li>
  <li>
   Proven capacity to take ownership of tasks and meet challenging deadlines
  </li>
  <li>
   Excellent attention to detail with effective follow-up abilities
  </li>
  <li>
   Self-motivated with strong organizational skills and the ability to work efficiently under pressure
  </li>
  <li>
   Exceptional interpersonal skills and a customer-focused mindset
  </li>
  <li>
   Analytical mindset with excellent proofreading capabilities
  </li>
  <li>
   Discretion and sound judgment in handling sensitive information
  </li>
  <li>
   High energy, enthusiasm for learning, and a professional demeanor
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Commitment to Inclusion &amp; Belonging
  </strong>
 </p>
 <p>
  The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
 </p>
</div>


Compliance Associate

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