ai decision science manager - life sciences

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ai decision science manager - life sciences Jobs in Boston

data engineer ii

bioinformatics scientist

Boston Children's Hospital

<p></p><div><div><div><div>Research Computing supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics.<br>
<br>
You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Providing computational support by applying a wide range of bioinformatics tools and technologies; With supervision and direction, completing assignments in the required timeframe while consistently adhering to standard operating procedures and best practices; adapting to a changing environment, resolving problems associated with assignments and seeking supervisor assistance when needed.</li><li>
Routinely co-leading or participating in research computing projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; coordinating work activities with other stakeholders; contributing to the resulting presentations and/or publications.</li><li>
Training staff and researchers; effectively tailoring presentations.</li><li>
Communicating scientific findings clearly through presentations, email, memos, and scientific publications; presenting progress at project and departmental meetings; facilitating productive discussions and problem-solving.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<b>Education:</b><ul><li>
Bachelor's degree in science, technology, engineering or mathematics.</li><li>
Ph.D. in Bioinformatics, Computational Biology or related preferred.</li></ul><b>
Experience:</b><ul><li>
Minimum of one year of advanced bioinformatics experience</li><li>
Extensive knowledge of the use of open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.</li></ul></div>
</div><div><p><b>Status</b></p>
<div>Full-Time</div>
</div><div><p><b>Regular, Temporary, Per Diem</b></p>
<div>Regular
</div></div><div><p><b>Standard Hours per Week</b></p>
<div>40
</div></div><div><p><b>Pay Range</b></p>
<div>$78540.80-$125652.80 Annual</div>
</div><div><p><b>Office/Site Location</b></p>
<div>Boston</div>
</div><div><p><b>Job Posting Category</b></p>
<div>Information Technology</div>
</div><div><p><b>Remote Eligibility
</b></p><div>Full-Time Remote</div></div></div></div><div></div>

Bioinformatics Scientist

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/09/2026</p>
</div><div><p>Description</p>
<div><p><b>We are:
</b></p><p>Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span from ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song</p>
<p><b>The role:</b></p>
<p>As an AI Decision Science Manager for Data &amp; AI at Accenture Song, you will help Life Sciences clients use data, advanced analytics, and AI to drive smarter customer experiences and commercial strategies across marketing, sales, and medical functions. This role sits at the intersection of decision science, AI engineering, marketing technology, experience design, and commercial execution, with accountability for managing scaled delivery.</p>
<p>You will lead teams in the design and application of decision frameworks, omnichannel measurement, and AI-driven systems to activate personalized engagement across the customer lifecycle, inform brand and commercial strategy, and guide investment decisions tied to outcomes such as growth, efficiency, and Rx. The ideal candidate is a strategic thinker, experienced leader, and analytical problem-solver who can influence senior stakeholders, shape solution direction, deliver complex programs, and embed data- and AI-driven decisioning into how Life Sciences organizations operate.</p>
<p><b>Key responsibilities:</b></p>
<p><b>1. Customer Experience &amp; Omnichannel Decision Sciences</b></p>
<p>Lead the design and application of decision frameworks that connect data to customer experience, brand, and commercial decisions across the Life Sciences value chain. Oversee analysis of HCP, patient, and account-level data (behaviors, journeys, channels) to inform personalization, content strategy, engagement models, and omnichannel orchestration across marketing, sales, and medical functions. Partner with brand, commercial, and technology leaders to embed intelligence directly into activation and execution.</p>
<p><b>2. Omnichannel Measurement &amp; Commercial Analytics</b></p>
<p>Define, evolve, and govern measurement frameworks that connect marketing, sales, and medical engagement to business and patient outcomes (e.g., revenue, cost efficiency, NBRx, LTV, reach and frequency effectiveness). Lead the application of advanced analytics approaches&mdash;including incrementality, attribution, regression, experimentation, and MMM&mdash;to guide strategic and investment decisions. Ensure measurement supports enterprise alignment, operational efficiency, and performance management (e.g., OKRs, brand and field effectiveness).</p>
<p><b>3. Marketing Technology &amp; Data Enablement</b></p>
<p>Translate commercial, marketing, and CX strategy into scalable data, reporting, and MarTech requirements, partnering closely with engineering and platform teams. Guide assessment of data availability, quality, and readiness across Life Sciences technologies, including CDPs, CRM and sales force platforms, media, digital analytics, and real-world data sources, ensuring compliance, governance, and long-term sustainability.</p>
<p><b>4. AI-Driven Omnichannel Experiences</b></p>
<p>Lead the design and build of AI-driven decision systems that connect customer data, measurement, and commercial technology to activate relevant, personalized experiences across the full lifecycle&mdash;from strategy and journey design to content, activation, and optimization. Apply advanced analytics and AI engineering to reinvent how Life Sciences organizations engage HCPs, patients, and stakeholders across marketing, sales, and medical channels.</p>
<p><b>5. Data Storytelling &amp; Strategic Influence</b></p>
<p>Translate complex commercial and customer data into clear insights and decisive actions for senior stakeholders. Develop compelling narratives that guide omnichannel activation, inform commercial and brand strategy, influence executive decision-making, and drive measurable, incremental business and customer impact.</p>
<p><b>Basic Qualifications:</b></p>
<ul><li>7+ years of relevant experience in data, analytics, AI, or decision science roles, with progressive responsibility leading workstreams or teams. Experience should include:
<ul><li>Strong proficiency in customer, marketing, and/or commercial data domains, including experience with behavioral, journey, engagement, and performance data in omnichannel environments</li><li>
Expertise in leading measurement and decision frameworks, including KPIs, OKRs, attribution, incrementality, experimentation, regression, and MMM</li><li>
Proven experience translating business and commercial strategy into analytics and AI solutions, including requirements definition, use-case prioritization, roadmap development, and success measurement</li><li>
Deep knowledge of marketing and commercial technology ecosystems, including CDPs, CRM, sales force platforms, media platforms, digital analytics tools, and foundational data concepts (data models, pipelines, governance)</li><li>
Excellent stakeholder leadership and communication skills, with experience influencing senior client stakeholders and cross-functional teams</li></ul></li><li>
4+ years of experience supporting Life Sciences clients, with exposure across marketing, sales, medical, or broader commercial functions</li></ul>
<p><b>Preferred Qualifications:</b></p>
<ul><li>Experience designing, building, or leading AI- and GenAI-enabled solutions, including foundation models, decisioning systems, personalization engines, or automation applied to marketing, sales, or medical engagement</li><li>
Strong familiarity with Life Sciences commercial strategy and analytics, including HCP and patient engagement models, field effectiveness, brand performance, and NBRx-related analytics</li><li>
Experience leading cross-functional teams across creative, CX, marketing, sales, medical, data, and technology to operationalize analytics and AI at scale</li></ul>
<p>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted on 03/10/2026 and open for at least 28 days.</p>
<p>Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:</p>
<p>U.S. Employee Benefits | Accenture</p>
<p>Role Location Annual Salary Range</p>
<p>California $94,400 to $293,800</p>
<p>Cleveland $87,400 to $235,000</p>
<p>Colorado $94,400 to $253,800</p>
<p>District of Columbia $100,500 to $270,300</p>
<p>Illinois $87,400 to $253,800</p>
<p>Maryland $94,400 to $253,800</p>
<p>Massachusetts $94,400 to $270,300</p>
<p>Minnesota $94,400 to $253,800</p>
<p>New York $87,400 to $293,800</p>
<p>New Jersey $100,500 to $293,800</p>
<p>Washington $100,500 to $270,300</p>
<p><b>Requesting an Accommodation</b></p>
<p>Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
<p>If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p>
<p><b>Equal Employment Opportunity Statement</b></p>
<p>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p>
<p>For details, view a copy of the Accenture Equal Opportunity Statement</p>
<p>Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p>
<p>Accenture is committed to providing veteran employment opportunities to our service men and women.</p>
<p><b>Other Employment Statements</b></p>
<p>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p>
<p>Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p>
<p>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
<br>
<br>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p>
<p>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.</p>
<p>Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p>
<p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
<p>We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.</p>
<p>At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.</p>
<p>Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>
</div><div><p>Salary</p><p>
94,400.00 - 293,800.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

AI Decision Science Manager - Life Sciences

Boston University

<div><p>Our laboratory invites applications for a postdoctoral associate focused on defining the molecular and cellular mechanisms by which bacterial infections drive lymphatic vessel dysfunction and lymphedema progression.</p>
<p>
The successful candidate will contribute to a multidisciplinary project employing the following methods:</p>
<div>
<ul><li>Characterization of molecular and cellular perturbations caused by S. aureus strains using single-cell transcriptomics and lineage tracing in murine models of cutaneous infection and lymphatic vessel dysfunction.</li></ul>
<ul><li>Delineation of infection-associated signaling cascades and testing the efficacy of pharmacological agents to restore contractile function of lymphatic vessels.</li></ul>
<ul><li>Evaluation of the impact of S. aureus toxins on lymphatic vessel dynamics through high-resolution functional imaging.</li></ul>
<ul><li>Investigation of targeted inhibition of S. aureus toxins on lymphatic function and host antimicrobial immunity in vivo to determine protective potential against recurrent infections.</li></ul>
</div>
<p>Responsibilities</p>
<p>
The postdoctoral associate will spend at least 80% of their time on research activities, including:</p>
<div>
<ul><li>Design and execution of murine infection models and assessment of lymphatic vessel function.</li></ul>
<ul><li>Performance of single-cell RNA sequencing, lineage tracing, and high-resolution calcium imaging experiments.</li></ul>
<ul><li>Analysis and interpretation of transcriptomic, imaging, and functional data.</li></ul>
<ul><li>Testing pharmacological interventions and bacterial toxin inhibitors in vivo.</li></ul>
<ul><li>Collaboration with clinical and translational research teams.</li></ul>
<ul><li>Co-authoring manuscripts, presenting findings at scientific conferences, and contributing to grant preparation.</li></ul>
</div>
<p>The remaining 20% may include:</p>
<div>
<ul><li>Mentoring graduate students and research assistants.</li></ul>
<ul><li>Participating in laboratory meetings, journal clubs, and institutional seminars.</li></ul>
<ul><li>Contributing to manuscript and grant writing efforts.</li></ul>
</div>
<p>Appointment Details</p>
<p>
Duration: Three years, with possibility of extension based on performance and funding<br>
Salary: $70K</p><br>
<br>
<br>
Required Skills<br>
<p>We seek candidates with expertise in vascular biology, immunology, microbiology, or related fields. Strong background in one or more of the following areas is required:</p>
<ul>
<li>Experience with murine infection models, particularly cutaneous or soft tissue infection models.</li>
<li>Proficiency in functional imaging techniques such as intravital imaging</li>
<li>Familiarity with single-cell RNA sequencing, bioinformatics analysis, or lineage tracing approaches.</li>
<li>Experience with vessel isolation, ex vivo functional assays, or vascular smooth muscle cell biology.</li>
</ul>
<p>Candidates with expertise in bacterial pathogenesis, toxin biology, host-pathogen interactions, or pharmacological intervention studies are especially encouraged to apply. The ideal candidate will be comfortable working at the interface of microbiology, vascular biology, and immunology and conducting hypothesis-driven research with translational implications.</p><br>
<p></p>
<p><b>
APPLICATION INSTRUCTIONS:</b></p>
<p>
Email a Curriculum Vitae and a cover letter explaining your research interests to Dennis Jones, PhD, djones1@bu.edu.</p><br>
<p></p>
<p><i>
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.</i></p></div>

Postdoctoral Associate, Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine

Lendbuzz

<div><div>At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we&rsquo;ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.<br>
</div><div></div><br>
<div>We are seeking a skilled and motivated <b>Software Engineer focused on Large Language Model (LLM) applications</b> to join our Machine Learning team. In this role, you will help design, build, and optimize next-generation conversational agent technologies. You will collaborate closely with ML researchers and product teams to ship high-impact features and own key components of our conversational AI stack. This position reports to the ML Research Scientist.</div><div></div><div><b><br>
This is a hybrid position based in Boston, MA and requires 3 days onsite.</b></div>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><ul><li>
Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience</li><li>
Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices</li><li>
Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic</li><li>
Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction</li><li>
Analyze model outputs, user interactions, and system performance to drive iterative improvements</li><li>
Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks</li><li>
Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle</li><li>
Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services</li><li>
Contribute to internal documentation, experimentation processes, and model evaluation frameworks</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Key Requirements:</b></h3><ul><li>
Master&rsquo;s degree in Artificial Intelligence, Computer Science, or a related technical field</li><li>
Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn)</li><li>
Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines</li><li>
Experience with NLP techniques, LLMs, or machine learning fundamentals</li><li>
Strong problem-solving ability and comfort working independently in a fast-moving environment</li><li>
Preferred: Experience deploying applications or models on cloud platforms, preferably AWS</li><li>
Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio</li></ul><div>
We believe:</div><div></div><div><b><br>
Diversity</b> <b>is a competitive advantage.</b> We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.</div><div></div><div><b><br>
Compassion</b> <b>is a strength.</b> We care about our customers and look to build long-term relationships with them.</div><div></div><div><b><br>
Simplicity</b> <b>is a key feature.</b> We work hard to make our forms and processes as painless and intuitive as possible.</div><div></div><div><b><br>
Honesty and transparency are non negotiable.</b> We incorporate these traits in all of our interactions.</div><div></div><div><b><br>
Financial opportunity belongs to everyone. </b>We work every day to improve lives by extending this opportunity.</div><div></div><div><br>
If you believe these things too then we would love to hear from you!</div><div></div><div><b><i><br>
A Note on Recruiting Outreach</i></b></div><div><i>
We&rsquo;ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @</i><i>lendbuzzcareers.com</i><i>). Please note that all legitimate emails from our team come from @</i><i>lendbuzz.com</i><i>. We will never ask for sensitive information or conduct interviews via messaging apps.</i></div></div>

Software Engineer (Machine Learning - LLMs)

QuEra Computing

<div><p><b>Summary</b></p>
<p>
QuEra Computing is seeking a mission-driven Quantum Scientist focused on designing and delivering specialized content for community engagement, customer training, and AI-enabled learning experiences. You'll use your expertise in quantum information, machine learning, and modern AI systems to create learning pathways that bridge users to the latest outcomes in quantum computing research &ndash; particularly that by QuEra's team &ndash; via our Bloqade software suite and our current and upcoming neutral-atom hardware.</p>
<p>
In addition to building world-class educational content, you will help integrate AI agents, ML-driven analytics, and scalable infrastructure into our enablement ecosystem&mdash;enhancing user onboarding, experimentation workflows, and community engagement.</p>
<p>
Deliverables include lessons, tutorials, notebooks, AI-assisted labs, hackathon challenges, interactive agents, and technical presentations tailored to users across academia, national labs, and industry.</p>
<p>
Some travel may be required for workshops, conferences, and hackathons.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design, author, and maintain structured, hands-on learning materials (courses, tutorials, notebooks, problem sets, quizzes, and challenge tracks) aligned with neutral-atom quantum computing capabilities.</li>
<li>Develop AI-enhanced learning tools, including intelligent tutoring workflows, agent-assisted coding labs, and automated feedback systems.</li>
<li>Build and deploy lightweight ML or AI agent systems that support user onboarding, documentation navigation, experiment configuration, or workflow optimization.</li>
<li>Produce clear, accurate technical presentations and demos for customers, partners, conferences, and hackathons; deliver live and online instruction.</li>
<li>Closely collaborate with the applications research, product and solutions teams to ensure content reflects the latest algorithms, applications, APIs, and hardware constraints.</li>
<li>Translate new R&amp;D into learner pathways; define objectives and assessments; use learner data, ML-driven insights, and feedback to iterate and improve.</li>
<li>Contribute to scalable infrastructure for educational environments (cloud-based notebooks, APIs, model endpoints, experiment orchestration systems).</li>
<li>Drive customer/partner enablement and community programs (hackathons, forums, workshops) and expand documentation to lower adoption barriers.</li>
<li>Explore and prototype AI agents that assist users in quantum program synthesis, parameter optimization, debugging, or workflow automation.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>Advanced experience in Physics, Computer Science, Electrical Engineering, Machine Learning, or a related field (PhD preferred; MSc/BSc with equivalent experience considered).</li>
<li>Strong foundation in quantum information/science, spanning algorithmic building blocks, software tooling, data analysis, and hardware limitations.</li>
<li>Experience using machine learning systems, AI agents, LLM-based tooling, or intelligent automation frameworks.</li>
<li>Familiarity with modern ML/AI infrastructure (e.g., model APIs, vector databases, agent orchestration frameworks, cloud deployment, experiment tracking).</li>
<li>Experience creating technical education materials or teaching (tutorials, workshops, developer content), with demonstrated interest in research-informed pedagogy.</li>
<li>Excellent written and verbal communication skills; ability to explain complex topics to diverse technical audiences.</li>
<li>Collaborative mindset and the discipline to independently deliver high-quality technical and educational artifacts.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience with Bloqade or other QIS tooling for scientific computing.</li>
<li>Familiarity with neutral-atom quantum computing platforms.</li>
<li>Experience applying ML techniques and agents to scientific and quantum computing, particularly in the context of education.</li>
<li>Experience building or deploying AI agents (e.g., retrieval-augmented systems, code assistants, orchestration frameworks).</li>
<li>Experience with MLOps, infrastructure-as-code, containerization, or cloud-based notebook environments.</li>
<li>Track record presenting at conferences, running hackathons, or building developer communities.</li>
<li>Comfort using data analytics and ML methods to evaluate learning outcomes and improve curricula.</li>
</ul>
<p>The approximate base salary range for this position is $130,400 - $211,900.</p>
<p>
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.</p>
<p>
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.</p>
<p>
#LI-NB1</p></div>

Quantum Scientist – Community, AI & Learning Systems

Natixis

<div><div>Natixis Investment Managers is among the world&rsquo;s largest asset management firms. Powered by the expertise of more than 15 specialized investment managers globally, we deliver proactive solutions that help clients pursue better outcomes in all markets.</div><div><br>
The Distribution Enablement Group (DEG) is an expanding team within Natixis. Our group encompasses Distribution Execution Consulting &amp; Strategy, Distribution Platform Enablement, Data Science &amp; AI, and Data &amp; AI Governance. Our core mission is to drive business growth and improve efficiency by extracting insights from data and streamlining the use of data &amp; technology. We partner closely with Sales, Marketing and other Business teams to simplify &amp; automate workflows, develop actionable analytic reports, generate leads, and more.</div><div><br>
As a Principal Data Scientist within the Distribution Enablement Group, you will be a technical and strategic leader who addresses business goals through data, automation, and AI. You will collaborate closely with Business partners and IT to design &amp; deliver solutions that support distribution strategy and execution. From building and maintaining analytic- and data- pipelines to powering initiatives such as client lead scoring for Sales, your work will help simplify and evolve workflows across Business teams. Partnering with international colleagues, you will help shape technical architecture, standards, and best practices. As both a hands‑on contributor and mentor, you will support skill development across the team and help the group continue to grow, mature, and expand its impact. This is a hybrid position located in our Boston, MA office. We require employees to be in the office a minimum of 3 days a week. While we do not have fixed days in the office, we ask that team members make a best effort to be in the office for important business meetings.</div><div>
</div><div><b>
What you will do:</b></div><div><ul><li>
Partner with Sales, Marketing, Finance and other Business teams to understand their requirements, and translate their goals into scalable data solutions &amp; automated workflows.</li><li>
Partner with IT to deliver on Business objectives, including production code deployments, data collection &amp; integration, front-end user experience, and back-end infrastructure.</li><li>
Develop, deploy, and maintain data and analytics pipelines that support business objectives, analytic processes, and interactive dashboards</li><li>
Monitor, troubleshoot and optimize analytic and data processes to ensure reliability, performance and availability.</li><li>
Contribute to technical architecture, documentation and governance throughout the Business related to data, automation and AI.</li><li>
Support the incorporation and responsible use of AI across Business workflows and analytic use cases.</li><li>
Continually investigate new tools and techniques, as well as emerging standards.</li></ul></div><div>
</div><div><b>
What you will bring:</b><br>
<i>Required</i></div><div><ul><li>
7+ years of experience in data science, analytics engineering, or a related role, preferably within financial services or another highly regulated industry.</li><li>
Strong proficiency in Python and SQL, with experience using Git for version control and collaboration.</li><li>
Demonstrated experience implementing machine learning solutions, including model development, deployment, and ongoing monitoring in production environments.</li><li>
Solid understanding of machine learning techniques, statistical analysis, and data modeling concepts.</li><li>
Experience leveraging cloud platforms or remote compute environments to support data processing and analytics workloads.</li><li>
Excellent written and verbal communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.</li><li>
Proven ability to manage multiple priorities, meet deadlines, and remain adaptable in fast-changing environments.</li><li>
Strong time management skills, attention to detail, and a resourceful, problem-solving mindset.</li></ul><i>
Preferred</i></div><div><ul><li>
Experience with enterprise data science platforms such as Dataiku (or similar tools).</li><li>
Familiarity with the AWS ecosystem, including services such as Redshift, S3, EC2, Lambda, and CloudWatch.</li><li>
Experience with workflow orchestration tools (e.g., Airflow).</li><li>
Experience using dbt for analytics engineering and data transformations.</li><li>
Familiarity with workflow automation tools such as Microsoft Power Automate.</li><li>
Experience working with CRM platforms, such as Salesforce.</li><li>
Experience integrating and consuming data via REST APIs.</li></ul></div><div>
</div><div><b>
Who we are:</b><br>
We put the best interests of our clients, employees, communities, and environment first in everything we do. We&rsquo;re dedicated to fostering a culture of collaboration, diversity, and inclusion that supports employee growth. We believe this creates equal opportunities for our employees &mdash; and better outcomes for our clients and communities. We offer a robust benefits package designed to integrate life and work and to support our employees. Benefits include, but are not limited to; comprehensive medical, dental and vision insurance, paid time off, 401k plan, tuition reimbursement, student loan repayment program, wellness benefits and volunteer programs*.</div><div>
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#NatixisIMCulture</i></b></div><div>
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In accordance with the Massachusetts Wage transparency act, the expected annual base salary for this Boston, MA, based position is $155,400 - $211,300. Actual annual base salaries may vary based on factors including but not limited to education, training, experience, and other job-related factors. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses and other Natixis sponsored benefit programs.</i></div><div>
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Natixis Investment Managers is an equal opportunity employer and does not discriminate in recruiting, hiring, training, promotion or other terms, conditions and privileges of employment on the basis of race, color, age, national origin, ancestry, religion, sex (including pregnancy), sexual orientation, gender identity, genetic information, military or veteran status, physical or mental disability, or any other status protected by law.</i></div><div>
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</div><ul><li><i>Benefits eligibility is for permanent employees of Natixis Investment Managers. Interns, contractors and temporary workers are not eligible for benefits.</i></li></ul></div>

Principal Data Scientist

CloudZero

<div><h2 class="jobSectionHeader"><b>About the Role:</b></h2><p>
The ML problems that define the future of cloud cost-per-anything CloudZero is the cost-per-anything model for cloud and Al - for humans and the agents spend</p><p>
they deploy. We're inverting cost intelligence: from billing-first to telemetry-first. Every</p><p>
CloudZero is inverting the traditional cost intelligence model. Engineering decision is a buying decision - Instead of starting from the monthly bill, we're building toward</p><p>
and we're building the platform that proves it in a telemetry-first platform &mdash; lightweight collection agents real time.inside customer environments, capturing every Al inference</p><p>
event, cloud resource usage, and product telemetry signal in Telemetry-FirstCost-to-Produce Al Inference Agentic Governance ML-Powered real time. That data is reconciled against billing to produce total cost-to-produce intelligence. Not just COGS. The full picture.</p><p>
Al is making every company look like a multi-tenant SaaS. Every enterprise now has per-model, per-token, per-customer Al inference complexity &mdash; and no one has a</p><p>
real-time answer for how to measure, govern, and optimize it. CloudZero is building that answer: a multi-tier architecture spanning real-time streaming (Kafka, Flink/KStreams), batch billing reconciliation, and an intelligent governance layer for both human engineers and the autonomous agents they deploy. Most of what makes this role extraordinary is what</p><p>
we're building next. This is a founding technical engineer role. You won't be managing a team on day one &mdash; you'll be anchoring one. You'll set the technical patterns, solve the hardest data science problems in the product, and help build the team around you. The vision: CloudZero becomes the cost-per-anything model for cloud and Al &mdash; for humans and</p><p>
the agents they deploy.</p><p></p><p>
6 hard ML problems. They sit at the intersection of financial telemetry, cloud infrastructure, Al inference, and massive scale. Some are live in product today; several are what we're building next.</p><p></p><ul><li><p><b>
Real-time Unit Economics</b>: Calculate per-unit costs across millions of transactions with dynamic efficiency management</p></li><li><p><b>
Predictive Cost Intelligence</b>: Predict and prevent cost efficiency breaches before they impact business</p></li><li><p><b>
Multi-Cloud Attribution</b>: Accurately attribute cloud spend across complex systems using probabilistic modeling</p></li><li><p><b>
Autonomous Optimization</b>: Build AI agents that make safe infrastructure changes within business constraints</p></li></ul><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li><p>
Lead by example: spend 60-70% of your time building, architecting, and solving technical problems</p></li><li><p>
Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale</p></li><li><p>
Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics</p></li><li><p>
Establish technical standards and development processes for AI/ML systems</p></li><li><p>
Build and develop a small team of AI/ML specialists</p></li><li><p>
Provide hands-on coaching and technical guidance to team members</p></li><li><p>
Foster a culture of innovation, continuous learning, and customer focus</p></li><li><p>
Lead by example in technical decision-making and problem-solving approach</p></li><li><p>
Partner closely with engineering teams to embed AI throughout the platform</p></li><li><p>
Translate complex AI concepts into business value for executives and customers</p></li><li><p>
Drive AI strategy alignment with company vision and product roadmap</p></li><li><p>
Represent CloudZero's AI capabilities in customer conversations and industry events</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2><ul><li><p>
6+ years in ML engineering and/or data science disciplines, with meaningful time in production systems at scale</p></li><li><p>
Deep time-series fluency &mdash; you've built forecasting and anomaly detection systems that made it to production and earned customer trust</p></li><li><p>
Classical ML foundations &mdash; graphs, clustering, probabilistic modeling, data structures. You reach for the right tool, not the trendiest one</p></li><li><p>
Production ML engineering &mdash; you've owned the full stack: feature engineering, model serving, monitoring, retraining pipelines, feedback loops</p></li><li><p>
Python fluency and data warehouse experience (Snowflake, BigQuery, or equivalent)</p></li><li><p>
Formal background &mdash; in Computer Science, Statistics, Mathematics, or a related quantitative field</p></li><li><p>
GenAI/LLM experience &mdash; you've integrated LLMs, seen their failure modes, and know when to use them vs.traditional ML</p></li><li><p>
Cloud ML infrastructure &mdash; AWS SageMaker, Bedrock, or equivalent. Building systems at enterprise scale in AWS/GCP</p></li><li><p>
FinOps or cost intelligence domain nice to have - understanding of cloud billing, infrastructure cost models, or related financial data</p></li><li><p>
Founding IC experience &mdash; you've been the first or second data scientist and know what it takes to build from scratch</p></li><li><p>
Graph modeling and semantic layers &mdash; knowledge graphs, entity resolution, or semantic modeling in production contexts</p></li><li><p>
Bias toward correctness &mdash; you care whether models are actually right, not just accurate on a validation set</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About CloudZero:</b></h2><p>
Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it &mdash; and macroeconomic conditions only increase pressure to prove cloud efficiency.</p><p></p><p>
CloudZero is a SaaS platform at the intersection of next-generation cloud cost management and FinOps. We ingest billing and usage data from all cloud, SaaS, and PaaS providers, organize it in real time according to our customers' business structures, and empower organizations to make more informed business decisions.</p><p></p><p>
Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. We believe every engineering decision is a buying decision, and we're applying proven reliability engineering principles to financial efficiency.</p><p></p><p>
We believe the best AI empowers users with clear insights and confident decisions, transforming complex cloud cost data into actionable intelligence that drives meaningful business outcomes.</p><p></p><p>
To date, we've raised over $56 million from leading venture capital firms. We're solving problems of massive scale, business importance, and complexity in a space that needs it more than ever.</p><p></p><h3 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h3><p>
CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.</p><p><b>
Please note</b>: <i>CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.</i></p><p>
Compensation Range: $220K - $250K</p></div>

Lead ML Engineer

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