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advisor - scientific data engineer

ai design lead

ai research scientist

Eli Lilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
 
Locations: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
 
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
 Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities—serving both human scientists and autonomous AI agents.
 
Position Summary
 
We are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize Data Foundry’s scientific tools and analytical methods into actionable-prototypes. You will build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable, both by discovery scientists and by the Frontier AI group’s autonomous agents.
 This role sits at the interface between Methods4Insight (which develops analytical methods) and Architecture4Insight(which provides the agile data infrastructure). Your job is to ensure every scientific tool Data Foundry produces are analytics-ready, well-monitored, and exposed through APIs with the response-time guarantees and error handling that both human users and AI agents require.
 
Responsibilities
 
MLOps & Model Lifecycle Management
 
<ul>
<li>Build and maintain end-to-end ML deployment pipelines: experiment tracking, model versioning (MLflow, Weights & Biases), containerized model serving, and automated retraining triggers.</li>
<li>Develop model registry infrastructure and feature engineering pipelines that enable computational scientists to access models.</li>
<li>Implement monitoring and alerting for data pipelines, APIs, ML models, and agentic systems (LLMOps) to ensure system reliability and performance at scale.</li>
<li>Build dashboards and metrics tracking for pipeline execution, API latency, token usage, model prediction quality, and system health</li>
<li>Establish structured logging and tracing infrastructure for debugging and performance optimization across scientific data systems</li>
</ul>
Scientific Tool Agile Deployment
 
<ul>
<li>Deploy predictive and analytical methods from Methods4Insight (e.g. cheminformatics, structural biology, bioinformatics, reaction informatics) with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner. Productionize when and where needed in partnerships with Tech@Lilly.</li>
<li>Build serving infrastructure supporting both synchronous (interactive scientist queries) and asynchronous (batch and agent-invoked) workloads in partnership with Tech@Lilly and Frontier AI.</li>
<li>Define and implement API contracts, documentation standards, and testing frameworks that ensure scientific tools are analysis ready, robust and consumable by external teams including Frontier AI.</li>
</ul>
Platform Engineering & Integration
 
<ul>
<li>Build and operate cloud-native model serving infrastructure (AWS, Azure, or GCP) using containers, Kubernetes, and infrastructure-as-code.</li>
<li>Develop CI/CD pipelines for ML models: automated validation, A/B testing, canary deployments, and rollback procedures.</li>
<li>Integrate model serving with Data Foundry’s data pipelines, ensuring models have access to properly formatted, versioned training and inference data.</li>
</ul>
Frontier AI Interface & Collaboration
 
<ul>
<li>Partner with the Frontier AI team and Tech@Lilly to ensure Data Foundry’s scientific tools are exposed via well-defined interfaces (REST APIs, MCP-compatible endpoints) that agents can invoke programmatically.</li>
<li>Collaborate on API performance requirements: latency targets, throughput guarantees, and graceful degradation under load.</li>
<li>Work with Methods4Insight scientists to ensure deployed models include appropriate uncertainty quantification and confidence metrics.</li>
</ul>
Basic Requirements
 
<ul>
<li>B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or related field.</li>
<li>3+ years of experience in MLOps, ML engineering, or scientific platform development</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Pharmaceutical or biotech research industry experience.</li>
<li>Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and ML lifecycle tools (MLflow, W&B, Kubeflow, or similar).</li>
<li>Proven track record building and deploying production model serving infrastructure — containerized endpoints, RESTful/gRPC APIs, and operational monitoring</li>
<li>Working knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and CI/CD automation.</li>
<li>Strong communication skills with ability to collaborate across computational scientists, software engineers, and partner teams.</li>
<li>Experience operationalizing scientific or computational models (cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models).</li>
<li>Hands-on experience with model monitoring, drift detection, and automated retraining systems.</li>
<li>Familiarity with API gateway patterns, event-driven architectures, and service mesh technologies.</li>
<li>Experience with feature stores, data versioning (DVC), or experiment tracking at scale.</li>
<li>Exposure to AI agent frameworks (MCP, LangChain) or building APIs that AI systems invoke programmatically.</li>
<li>Experience with C, C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance; familiarity with containerizing HPC workloads (Singularity/Apptainer).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
 
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
 $66,000 - $165,000
 
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
 
#WeAreLilly

Engineer - MLOps & Scientific Platforms - Data Foundry

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s
 
 Financial Engineering (FinEng)
 
 team powers how revenue flows through our products&mdash;pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
 
 
 
 About The Role
 
 
 
 As a Data Scientist on FinEng, you&rsquo;ll own the analytics and experimentation that improve our
 
 checkout and payments
 
 ,
 
 subscriptions
 
 , and
 
 pricing &amp; monetization
 
 systems. You&rsquo;ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.
 
 
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Own checkout &amp; payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
 </li>
 <li>
 Build and run the experimentation program for in-house checkout&mdash;define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren&rsquo;t feasible.
 </li>
 <li>
 Create operational visibility and source-of-truth data with FinEng Data Engineering&mdash;land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
 </li>
 <li>
 Lead subscription, retention, and monetization analytics&mdash;ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you have
 
 
 
 <ul>
 <li>
 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
 </li>
 <li>
 Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
 </li>
 <li>
 Experience building product metrics from scratch and operationalizing them for decision-making
 </li>
 <li>
 Excellent communication skills with PMs, engineers, risk/finance partners, and executives
 </li>
 <li>
 Strategic instincts beyond significance tests&mdash;clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
 
 
 </li>
 </ul>
 
 You could be an especially great fit if you have
 
 
 
 <ul>
 <li>
 Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)
 </li>
 <li>
 Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation
 </li>
 <li>
 Experience with internationalization/local payments, FX, and pricing &amp; packaging strategy
 </li>
 <li>
 Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Data Scientist, Financial Engineering

Nimble

<div>
 
 About Nimble
 
 
 
 Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We&rsquo;re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We&rsquo;ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world&rsquo;s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world&rsquo;s most legendary robotics company at the most pivotal moment in history, we want to work with you.
 
 
 We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; powered by generalist superhumanoids.
 
 
 Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford&rsquo;s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
 
 
 Let&rsquo;s be legendary.
 
 
 Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
 
 
 Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
 
 
 
 Why Join Nimble?
 
 
 
 At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
 
 
 
 Nimble's Core Values
 
 
 
 
 Be relentlessly resourceful
 
 -
 
 Challenge conventions and overcome obstacles.
 
 
 
 
 Be legendary
 
 -
 
 Be the very best and do work that inspires.
 
 
 
 
 Be humble
 
 -
 
 Prioritize growth, learning, and doing whatever is needed to further the mission.
 
 
 
 
 Be dependable
 
 -
 
 Take ownership and deliver with high agency.
 
 
 
 
 About The Role
 
 
 
 We are looking for a Software Engineer III to build the core software powering our next-generation autonomous robots. In this role, you will develop the systems that allow our robots to automate key warehouse functions with high performance and reliability. You will work across robotics and autonomy&mdash;building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations. You&rsquo;ll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve system uptime, performance, and overall intelligence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement services that integrate external partner software into the Nimble stack, defining clear APIs and contracts.
 </li>
 <li>
 Optimize end-to-end warehouse throughput across Nimble software and partner automation systems.
 </li>
 <li>
 Build fault-tolerant software with well-defined error handling and recovery behavior.
 </li>
 <li>
 Drive measurable improvements in autonomy quality, using data and operational metrics to iterate on task success rate, recovery behavior, and system reliability.
 </li>
 <li>
 Collaborate with hardware engineering to deliver seamless software&ndash;hardware integration for new robot platforms and upgrades.
 </li>
 <li>
 Lead technical design reviews and drive architecture decisions for core subsystems and features.
 </li>
 <li>
 Triage, diagnose, and resolve issues in production robotics systems.
 </li>
 <li>
 Mentor cross-functional engineers and technicians, raising the bar on reliability, testing, and operational excellence.
 </li>
 <li>
 Build and maintain integrations with robot platforms, APIs, services, and data systems
 </li>
 <li>
 Develop fault‑tolerant, fail‑safe robotic software and scalable systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors or Masters in Computer Science, or related field, or equivalent experience
 </li>
 <li>
 2-4 years of experience in production‑level coding in C++, Python, or Rust
 </li>
 <li>
 Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes
 </li>
 <li>
 Demonstrated experience designing scalable systems and leading complex technical projects.
 </li>
 <li>
 Excellent communication skills and ability to collaborate across teams.
 </li>
 <li>
 A proven track record of using analysis to influence high-stakes operational and engineering changes.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The pay range for this position at the start of employment is expected to be between $160,000 - $210,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.
 
 
 
 Culture
 
 
 
 We embrace challenges and strive to make the impossible possible each day. We&rsquo;re not in this to do what&rsquo;s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We&rsquo;re ambitious, we&rsquo;re gritty, we&rsquo;re humble and we&rsquo;re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 
 
 Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
 
 
 
 Nimble's Benefits
 
 
 
 
 Unlimited Flexible Time Off
 
 
 
 Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
 
 
 
 Health Insurance
 
 
 
 Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
 
 
 
 Paid Parental Leave
 
 
 
 Enjoy paid bonding time following a birth.
 
 
 
 Commuter Benefits
 
 
 
 Take the stress out of commuting with access to fully paid parking spots.
 
 
 
 Referral Bonus
 
 
 
 Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
 
 
 
 401k
 
 
 
 Contribute towards a 401k for retirement planning.
 
 
 
 Equity
 
 
 
 Be an owner in Nimble through our equity program
</div>

Software Engineer III, Robot Throughput

Career Launch AI

<div><h2 class="jobSectionHeader">Investment Banking Analyst (Full-Time / Internship)</h2>
Career Launch AI (Talent Platform &amp; Staffing Partner) 
Location: San Francisco, United States (Hybrid) 
Employment Type: Full-Time or Internship 
Experience Level: Entry-Level to Early Career<h2 class="jobSectionHeader">
About Career Launch AI</h2>
Career Launch AI is a talent platform that connects high-potential candidates with opportunities across investment banking, private equity, venture capital, and high-growth companies. We partner with a network of employers to place candidates into roles aligned with their skills and career goals.
By applying, candidates are considered not only for this role, but for 120+ active opportunities within our partner network.<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking motivated and detail-oriented candidates for an Investment Banking Analyst role within our partner network. This position offers hands-on exposure to financial analysis, deal execution, and client advisory.
Candidates will support senior professionals across live transactions, gaining experience in valuation, market research, and investment strategy.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Build and maintain financial models for valuation and investment analysis</li><li>
Support deal sourcing and pipeline management to track opportunities</li><li>
Conduct market research and industry analysis to identify trends</li><li>
Assist in due diligence processes and transaction execution</li><li>
Prepare pitch books, presentations, and client materials</li><li>
Analyze financial statements and performance metrics</li><li>
Collaborate with internal teams and external stakeholders</li><li>
Track and report on KPIs and deal progress</li><li>
Maintain compliance with relevant financial regulations and internal policies</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
Bachelor&rsquo;s degree (or in progress) in Finance, Economics, Business, or related field</li><li>
Strong understanding of financial modeling, valuation, and accounting principles</li><li>
Proficiency in Excel and PowerPoint</li><li>
Strong analytical and problem-solving skills</li><li>
Excellent written and verbal communication abilities</li><li>
Ability to manage multiple priorities in a fast-paced environment</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Prior internship or experience in investment banking, consulting, or finance</li><li>
Familiarity with DCF, comparable company analysis, and transaction modeling</li><li>
Experience supporting client-facing presentations</li><li>
Interest in capital markets, M&amp;A, or private investments</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Benefits</h2><ul><li>
Competitive base salary (varies by placement and experience)</li><li>
Performance-based incentives (where applicable)</li><li>
Hybrid work flexibility (role-dependent)</li><li>
Professional development and training opportunities</li></ul><h2 class="jobSectionHeader">
Work Environment</h2><ul><li>
Hybrid work model (New York-based roles may require in-office presence)</li><li>
Fast-paced, performance-driven environment</li><li>
Collaborative, team-oriented culture</li></ul><h2 class="jobSectionHeader">
Equal Opportunity Statement</h2>
Career Launch AI and its partner companies are equal opportunity employers. We evaluate all applicants based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, disability, or any other protected status.<h2 class="jobSectionHeader">
Important Transparency Notice</h2>
Career Launch AI operates as a staffing and talent placement platform. 
By applying, you consent to being considered for this role and other relevant opportunities within our partner network.<h2 class="jobSectionHeader">
How to Apply</h2>
Submit your application through LinkedIn. Qualified candidates will be contacted regarding next steps, which may include screening and interviews with partner firms.
#Workwolf</div>

Investment Banker

B Capital

<div>
 
 
 POSITION SUMMARY:
 
 
 
 B Capital is looking for a pre-MBA Associate for the
 
 Healthcare AI Team
 
 who has an incredible drive to assist in the investment process from end-to-end on investments from Series A to Growth Equity. Primary responsibilities will be helping identify new healthcare investment opportunities through research-driven sourcing, researching markets and sector trends, evaluating deals, and conducting detailed business and financial due diligence, including complex financial models.&nbsp; The individual will work across healthtech and digital health.&nbsp; The role requires a background in finance, familiarity with AI, and maturity, flexibility, intellectual curiosity, and a proven track record of turning ideas into action.
 
 
 
 BASIC JOB RESPONSIBILITIES:
 
 
 
 
 Market research
 
 
 <ul>
 <li>
 Develop market research and investment theses to guide sourcing efforts.
 </li>
 <li>
 Source new investment opportunities based on investment themes and research.
 </li>
 <li>
 Follow AI trends in healthcare
 </li>
 </ul>
 
 
 Deal screening and evaluation
 
 
 <ul>
 <li>
 Evaluate and assess the viability of investment materials we receive from potential companies.
 </li>
 <li>
 Lead key pieces of diligence on investment opportunities and deal processes (e.g., audit, tax, legal, financial modeling, etc.).
 </li>
 </ul>
 
 
 Building company value
 
 
 <ul>
 <li>
 Deliver high-touch support to our portfolio companies across a number of operating areas.
 </li>
 <li>
 Utilize the firm&rsquo;s and BCG&rsquo;s networks to connect companies with the highest value customer targets.
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 BASIC JOB REQUIREMENTS:
 
 
 <ul>
 <li>
 Passion for disruptive technology.
 </li>
 <li>
 1-3+ years of relevant work experience strongly preferred (e.g., investment banking on a healthcare team or work on a finance or BD team in an operating role)
 </li>
 <li>
 An undergraduate degree in economics, data science, biology, biomedical engineering, engineering with biology, biochemistry, or other relevant fields is highly desired.
 </li>
 <li>
 Excellent quantitative and qualitative analytical skills.
 </li>
 <li>
 Prior VC/PE investing experience not required, but a plus.&nbsp; Finance experience is highly desired.
 </li>
 <li>
 
 
 The role will be based in San Francisco, and you must be comfortable relocating or presently be based in SF
 
 
 </li>
 <li>
 Hybrid Work (3 days in SF office)&nbsp;
 </li>
 </ul>
 
 
 &nbsp;
 
 
 KEY COMPETENCIES:
 
 
 
 The ideal candidate has strong analytical abilities and is intellectually curious &ndash; particularly in terms of new and emerging technologies.
 
 <ul>
 <li>
 Awareness of the market and a perspective on potential investable market trends, particularly in AI related approaches.
 </li>
 <li>
 Experience distilling ideas and insights into clean, digestible formats (e.g., slides, documents) required.
 </li>
 <li>
 Experience with detailed financial modeling, including P&amp;L, balance sheet, and cash flow statements, as well as quantitative market research (e.g., valuation comps) required.
 </li>
 <li>
 Exposure to core venture capital &ldquo;math&rdquo; skills (e.g., cap table, returns modeling) and familiarity with standard venture terms and concepts is a plus.
 </li>
 <li>
 Entrepreneurial spirit to help us shape new portfolio investments and our own company.
 </li>
 <li>
 Exceptional interpersonal skills, business judgment, and work ethic.
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 ABOUT B CAPITAL
 
 
 
 B Capital invests globally in extraordinary founders and businesses shaping the future through technology. With approximately $10 billion in assets under management and dedicated stage-based funds, the firm focuses on seed to early- and late-stage venture growth investments, primarily in the technology, healthcare and resilience tech sectors. Founded in 2015, B Capital has an integrated, global team across nine locations in the U.S. and Asia. The firm&rsquo;s value-add platform, together with the consulting expertise of its strategic partner, The Boston Consulting Group, provides entrepreneurs with the tools and resources to scale quickly and efficiently, expand into new markets and build market-leading businesses. For more information, click here.
 
 
 
 B CAPITAL GROUP CORE VALUES:
 
 
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 Generosity:
 
 
 We&rsquo;re collaborative and always willing to share our time and knowledge.
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 Resilience:
 
 
 We&rsquo;re persistent and determined to succeed, persevering through challenges and seeing change as an opportunity.
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 Open-mindedness:
 
 
 We&rsquo;re curious and welcoming. Our global perspective and commitment to diversity, equity, and inclusion make our culture stronger and more innovative.
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 Will:
 
 
 We believe in the companies we&rsquo;ve invested in and we&rsquo;ll do everything in our power to help them change the world for the better.
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 Teamwork:
 
 
 We value our relationships above all. We work hard to build trust and respect with founders, investors, partners and colleagues.
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 Humility:
 
 
 We add value by going beyond for founders and LPs. We strive to let our work speak for itself.
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 &nbsp;
 
 
 
 B Capital Global US LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.
 
 
 
 
 The salary range is $110,000-$130,000 and will be commensurate with relevant experience.
 
 
 
 
 
 Salary Range applies to California candidates only. The actual salary may be subject to change.&nbsp;
 
 
 
 
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Associate, Healthcare

Outset

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 Outset invented a better way to do research: AI-powered user interviews.
 
 
 Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.
 
 
 The research industry is massive (&gt;$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.
 
 
 Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025&mdash;less than six months after our Series A&mdash;led by Radical Ventures with participation from M12 (Microsoft&rsquo;s venture arm), 8VC, Y Combinator, and Adverb Ventures.
 
 
 The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.
 
 
 We&rsquo;re a tight-knit team serving some of the world&rsquo;s largest enterprises
 
 
 
 Responsibilities
 
 
 
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 Collaborate closely with the CTO and CEO on strategic technical decisions and product direction.
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 Design, develop, and optimize intuitive, user-friendly frontend interfaces using React and Next.js.
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 Build robust and responsive components that seamlessly integrate with backend services and APIs.
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 Enhance user experiences through real-time data visualization and interaction.
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 Lead frontend projects from initial conception through production deployment, ensuring scalability, responsiveness, and reliability.
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 Interface directly with users to gather feedback, understand pain points, and continuously improve our product's UI/UX.
 
 
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 Qualifications
 
 
 
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 3+ years of software engineering experience building production-grade frontend systems.
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 Strong proficiency with JavaScript/TypeScript, React, and Next.js.
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 Experience building scalable, responsive web applications.
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 Familiarity integrating frontend applications with RESTful or GraphQL APIs.
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 Strong understanding of UI/UX principles and best practices.
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 Bonus points for familiarity with real-time data visualization, WebRTC, or frontend performance optimization.
 
 
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 Benefits
 
 
 
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 Daily collaboration with founders, shaping the core product vision.
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 Exposure to and collaboration with design and research leaders at top global brands.
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 Competitive cash and equity compensation. Actual compensation packages are based on various factors unique to each candidate, including skill set, depth of experience, and certifications.
 
 
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 Outset is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected class.
 
 
 
 Compensation Range: $160K - $300K
 
 
</div>

Frontend Software Engineer

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