Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Experience Requirements:

• Incessant passion for public health and using data to save human life.

• Strong logical reasoning skills, puzzle-solving skills, and attention to detail.

• Fluency working with Excel spreadsheets / Google sheets, and analyzing numbers.

• Proficiency in speaking, reading, and composing clear and correct English.

• English typing speed of at least 45 words per minute.

Other Requirements:

• Enthusiasm for information technology.

• An eye for clarity in the visual presentation of data.

• Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

• Good fluency in English speaking and writing (typing > 40 wpm).

• Critical thinking skills, expressiveness, and team-oriented attitude.

• And you have to care about the work that you do!

Responsibilities:

• Rigorous statistical analysis of some of the largest fully-electronic, clean, and individual-level healthcare datasets ever captured in human history, in Sub-Saharan Africa.

• Combine your mathematical talent with your empathy for others to bring voice to the untold masses struggling to receive adequate healthcare across the Global South.

• Use numbers, technology, and visualization to build data-driven stories that will change the world.

• Analysis of data to manage project operations and investigate core research objectives for epidemiological surveillance and randomized control trials

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Responsibilities:

• Composition of scientific experiments and pedagogical materials for teaching fundamental scientific concepts to kids, using our portable spectrophotometer

• Assistance with scientific research, including collection and analysis of data using ScanSpectrum

• Test and benchmark ScanSpectrum devices

• Search for new funding opportunities and research projects, and assist with the composition of proposals

Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 5+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 2+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Two months of year-end bonus (after one year)

• Performance bonus

• Holiday gifts

• Advance office supplies allowance

• Self-improvement subsidy, health promotion allowance

Education Requirements:

• Master's or PhD degree in related field (preferred)

Experience Requirements:

• 2+ years of data science project experience

Other Requirements:

• Clear and concise communication of complex technical issues

• Python development experience

• Familiarity with data analysis packages

• Teamwork skills

• Attention to detail

• Patience, persistence

Responsibilities:

• Data science projects (business problem understanding, data analysis, solution development, result presentation)

• Literature review

• Product development

• Code development, testing, and maintenance

• Project feasibility assessment

Benefits:

• Flexibility at Its Best: Work 100% hybrid

• Team Bonding

• Tech-Specific Benefits

• Global Rewards Program

• Referral Bonuses

Experience Requirements:

• At least 3 years of experience working with SQL

• At least 2 years of experience working with Python (Pandas)

• At least 3 years of experience as a Data Analyst working with large scale data and defining KPIs

• Automated large scale for analytics

• Bulit dashboards with visualization tools

Other Requirements:

• Statistical analysis capabilities used for generating and presenting meaningful conclusions

• Ability to analyze and characterize system issues

• As part of an international team operating across multiple locations, we require fluent spoken and written English for effective communication and collaboration

Responsibilities:

• analyze system performance

• produce actionable intelligence for colleagues and customers

• investigate error scenarios

• taking ownership of data quality

• collaborate with development, data engineering, and research teams

Responsibilities:

• Play a crucial role in improving the accuracy and efficiency of algorithms and models

Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Experience Requirements:

• 5+ years of performing ML related research work

Other Requirements:

• Low-ego

• First principles reasoner

• Leader

• Company-builder

• Eagle-eyed

• Flexible

• Collaborative

• Passionate

• Office lover

• All-in

Responsibilities:

• owning our applied research efforts on agent abstractions, model orchestration, post-training techniques

• work closely with the agent design and world modeling teams to iterate and improve on our multi-agent architectures

Benefits:

• Encourage independent decision making

• Avoid rules

• Choose people over process

• Offer unlimited vacation policy

Experience Requirements:

• Exceptional engineering and coding skills (in Python or equivalent languages)

• Solid experience building and productionizing innovative end-to-end Machine Learning systems.

• Comfortable working in different parts of the stack.

• Experience with making product decisions based on data and A/B testing.

• Experience with automation and instrumentation.

Other Requirements:

• Background in Machine learning is a plus.

• Knowledge of distributed systems is a plus.

• Experience with server architectures is a plus.

• Knowledge of map-reduce/Hadoop is a plus.

• Experience with RTB is a plus

Responsibilities:

• Build recommendation engines

• Build smart RTB solutions

• Build predictive ML models

• Build data-driven apps and services

Benefits:

• Competitive salary

• Opportunity to join a fast-growing hedge fund

• Partial remote working (negotiable)

• Equal opportunities employer

Education Requirements:

• Minimum Doctoral degree or in the last year of the Doctoral degree in Mathematics/Statistics, Computer Science, Physics or Electrical Engineering

Experience Requirements:

• Demonstrable capacity to produce high-quality peer-reviewed research

• Familiarity with Linux infrastructure and python (C++ familiarity would be beneficial)

• Preferably some knowledge of financial market mechanics

• Approachable attitude to joint work and peer review and ability to present complex ideas in a concise manner

Other Requirements:

• Mathematics hobbyist

Responsibilities:

• Involved in proprietary research

• Develop enhanced solutions to deliver them into production

Benefits:

• High level of autonomy and leadership opportunities

• Working (hard) on world-changing technology with leaders in the field

• Opportunity to solve some of the biggest problems in neurology and drug development

• Dynamic, innovative, passionate, entrepreneurial, international team

• Inclusive company culture

Experience Requirements:

• At least 6 years of research leadership experience in a life science start-up and/or industrial context (PhD research not included)

• Demonstrable track record of relevant world-class research, including strong scientific public record, preferably at the clinical stage and in neuroscience and/or biomarkers and/or medical devices

• Strong network of relevant potential service providers, KOLs/advisors, potential collaborators, research partners

• Strong experience in clinical study design and execution, including in clinical protocol design, study planning and management experience, statistical analysis planning

• Good analytical abilities, practical knowledge of statistical methods, preferably practical understanding of machine learning driven approaches

Other Requirements:

• PhD and or MD from a strong university

• Preferred specialization in neurosciences, neuro-ophthalmology, ophthalmology, biomarkers

Responsibilities:

• Set strategic research goals and strategy in biomarker validation and product development, in close collaboration with the company management, taking into account the necessary research regulations/frameworks and clinical/validation evidence requirements

• Engage and coordinate external research and/or commercial partners, as necessary, for the purpose of planning, management and execution of research and development work

• Understand and develop company value proposition for prospective research and co-development parties, which may include academia, industry, healthcare providers

• Engage industrial and clinical KOLs to help establish and grow company’s advisory board

• Project management and administration of research activities across all stakeholders including partners, CROs, trial site(s) and in-house team

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

Experience Requirements:

• Proven Track Record of Research Results

• Uses AI Every Day

• Strong Programming and Data Analysis Skills

• Biases Towards Showing vs Telling

Responsibilities:

• Define What AI Native Means for a Given Problem

• Methodology Design and Validation

• Consume and Publish Research

Experience Requirements:

• 8-12 years

Responsibilities:

• Lead the design and implementation of data strategies, leveraging Python and AI/ML models to drive advanced analytics and insights.

• Oversee data pipeline development, model training, and ensure alignment with business objectives for optimal data-driven decision-making

Experience Requirements:

• 8-12 years

Responsibilities:

• Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics.

• Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies

Benefits:

• Dual hubs (Toronto & New York)

• Founder access

• Growth investment

• Unlimited time off

• Comprehensive healthcare

Experience Requirements:

• 3+ years of experience leading and building high-performing teams

Other Requirements:

• Proven track record of leading data and AI strategy

• Adept at collaborating and driving data/AI strategy

• Proven data and AI expertise, experience in building AI-driven products and deploying models

• Deep exposure to NLP models, LLMs, and recommender systems

• Experience with labor market data is a plus

• Manage a full-stack data portfolio

• Lead with curiosity

• Take radical responsibility for outcomes

Responsibilities:

• Lead all aspects of data strategy and execution

• Build and mentor a high-performing data team

• Develop and refine internal data processes

• Work closely with business, product, and engineering teams

• Lead the development and optimization of NLP models, LLMs, and scalable recommender systems

Experience Requirements:

• Seasoned Decision Scientist with a strong background in operations research

Responsibilities:

• Apply advanced analytical methods and models to solve complex operational challenges

• Drive decision-making processes across predictive analytics and operations optimization initiatives

• Collaborate closely with data scientists, product managers, and operations teams

• Translate intricate data insights into actionable strategies

• Enhance operational efficiencies and business outcomes