Role Description This role is for one of our clients. Our research initiative focused on training AI agents to handle complex, real-world business and consulting work. As a contributor, you'll help design and refine the scenarios used to evaluate and improve how AI systems approach multi-document, multi-stakeholder business problems. This is a long-term role with flexible hours and a consistent workload. - Conduct market research and competitive analysis - Develop business cases, operational frameworks, and go-to-market strategies - Synthesize data into insights using presentations, memos, and models - Collaborate with stakeholders to define key metrics and decision points - Support strategic planning, scenario modeling, and opportunity evaluation Qualifications - 1.5+ years at a top management consultancy (e.g., McKinsey, BCG, Bain, or Big 5) - Strong analytical and communication skills, both written and verbal - Comfortable working independently in ambiguous or rapidly evolving contexts - Proficiency in PowerPoint, Excel, and basic data analysis tools - Experience advising on tech, AI, or SaaS industries preferred but not required Requirements - Expected commitment: minimum 10 hours/week Application Process - Submit your resume to get started - You'll complete a short form to detail your consulting background - We'll follow up within a few days with potential next steps Contract and Payment Terms - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments are weekly on Stripe or Wise based on services rendered. - Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Role Description This role is for one of our clients. Our research initiative focused on training AI agents to handle complex, real-world business and consulting work. As a contributor, you'll help design and refine the scenarios used to evaluate and improve how AI systems approach multi-document, multi-stakeholder business problems. This is a long-term role with flexible hours and a consistent workload. - Conduct market research and competitive analysis - Develop business cases, operational frameworks, and go-to-market strategies - Synthesize data into insights using presentations, memos, and models - Collaborate with stakeholders to define key metrics and decision points - Support strategic planning, scenario modeling, and opportunity evaluation Qualifications - 1.5+ years at a top management consultancy (e.g., McKinsey, BCG, Bain, or Big 5) - Strong analytical and communication skills, both written and verbal - Comfortable working independently in ambiguous or rapidly evolving contexts - Proficiency in PowerPoint, Excel, and basic data analysis tools - Experience advising on tech, AI, or SaaS industries preferred but not required Requirements - Expected commitment: minimum 10 hours/week Application Process - Submit your resume to get started - You'll complete a short form to detail your consulting background - We'll follow up within a few days with potential next steps Contract and Payment Terms - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments are weekly on Stripe or Wise based on services rendered. - Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Title: Forward Deployed AI Engineer - Enterprise Lead Location San Francisco; New York Employment Type Full time Location Type Hybrid Department Engineering Job Description: About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We Are Looking For Enterprise Lead AI Engineers are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments. They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments. This role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing Forward Deployed AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability. Key Responsibilities - Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams - Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow - Develop Forward Deployed AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership - Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery - Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements - Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement - Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment What We Require - 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery - Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck - Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts - Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations - Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes - Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations - AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build - Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement What We Offer - The base salary range for this role is $180K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package - 100% covered medical, dental, and vision for employees and dependents - 401(k) with additional perks (e.g., commuter benefits, in‑office lunch) - Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems - Ownership of high‑impact projects across top enterprises - A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

Title: Bioinformatician I Location: Boston United States Job Description: Site: The Brigham and Women''s Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Channing Division of Network Medicine at Brigham and Women''s Hospital is looking for exceptional Bioinformatician to join the Systems Genetics and Genomics group to advance research in respiratory disease, with a focus on chronic obstructive pulmonary disease (COPD), the third leading cause of death in the United States. Our group has led some of the largest and most comprehensive genetic and multi-omit studies in this disease, including identifying novel genetic associations and performing functional studies to identify new disease pathways. Bioinformaticians will work with an interdisciplinary team, consisting of geneticists and genetic epidemiologists, biostatisticians, computational biologists, and translational scientists and Qualifications Qualifications: BS degree and 1-3 years programming experience developing software solutions or MS in Bioinformatics, Computer Science, or biological engineering. Applicants will have understanding programming with agile development methods. SKILLS/ ABILITIES/ COMPETENCIES REQUIRED: - Ability to apply statistical and machine learning techniques to solve ' big data ' problems - Experience in Programing with MATLAB, R, Python and/or Java that focus on computational biological applications. - Experience with common bioinformatics and genomic browsers [NCBI, Genbank, UCSC] - Understanding the user of bioinformatics tools including common NGS tools [BWA, samtools, GATK] - Ability to work in a highly collaborative and intellectually challenging environment. Perform the technology watch; contribute to the strategy and evolution of existing services, as well as future architecture evolution around communication platforms - Knowledge of Linux (Ubuntu) - Must work independently - Excellent oral and written communication skills. Additional Job Details (if applicable) Remote Type Hybrid Work Location 41-45 Avenue Louis Pasteur Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $75,275.20 - $109,553.60/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: 2200 The Brigham and Women''s Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.