Experienced Life Science Recruiter (Relocate to Boston, US)

Apsida Life Science
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Consultant - Experienced

Data Science Manager

Principal Data Scientist - NLP

Applied Data Scientist - 12 months Contract (15hLeft)

Applied Scientist (Machine Learning)

Senior Machine Learning Scientist (Generative AI) - Viator New

Apsida Life Science is a specialist recruitment business Headquartered in Surrey UK, with additional offices in London UK, Boston USA & Pretoria South Africa.


Founded in 2019, we recognized the opportunity to provide a recruitment service that delivers genuine value and exceptional experiences through bespoke, cost-effective solutions grounded on quality and integrity.


We build lasting relationships by earning trust through transparency and consistency, utilizing our expansive network and deep industry knowledge. Rather than focusing solely on transactions, we guide clients and candidates through every stage of the hiring process, offering strategic insights and tailored support.


We’re currently looking to hire experienced recruitment consultants (Senior Consultant – Director) that would be willing to relocate to Boston, US. Our office is located in the heart of Cambridge Street (hybrid working considered). Due to a stable back end to 2024, we’re looking to bring on-board several 360 recruitment consultants who have a background in life science recruitment, ideally (but not essential) focusing on one of the following areas: Quality Assurance, Regulatory Affairs, Pre-Clinical & R&D, Translational Medicine, Tech Ops, Clinical Operations, Clinical Development, Biometrics, Strategy & Consulting, AI & Machine Learning, Human Resources, Contracts/Freelance or Tech Bio.


Key Responsibilities:


  • Focused on winning retained, exclusive contingent, RPO & Contract work for your own desk but also the wider business.
  • Generate new business via Business Development activites.
  • Optimizing Apsida legacy accounts and pitching solutions with the aim to building long-term partnerships.
  • Sourcing candidates from Junior to C-Suite positions, globally.
  • Navigate complex candidate interview processes ensuring communication and candidate experience is high on your agenda.
  • Manage client expectations from initiation to completion.
  • A specialist within your market, with the ability to guide and develop junior consultants within your vertical.
  • Attend conferences and client meetings to widen client base and build professional relationships.


Why join Apsida Life Science?


Apsida Life Science is uniquely placed in today’s market. We’re the ideal blend of stability and entrepreneurship that allows experienced billers to flourish. We’re not perfect, and that’s exactly why we’re the perfect business to join. Honest transparent leadership that is in the market, doing hands on recruitment, we understand your struggles and make business decisions to optimize your performance that benefits you.


Boston is a huge part of our story. We’re committed to building something special. So far, our boutique team has done a fantastic job in 2024 when many other firms have struggled. 2025 represents growth, 2025 offers opportunity for an individual to become a key player within a business that has a fantastic reputation across the life sciences.


  • Relocation support including VISA sponsorship, travel, rent etc included.
  • 121 training and development with our VP of North America and CEO.
  • Opportunity to be part of a stable start-up (20 headcount), working closely with the board of directors where your voice will be heard.
  • Fun, mature, adult environment. It’s crazy to think that people actually like each other at Apsida!
  • Tailored career progression with options for people management and individual contribution.
  • Fast-paced, fun, highly supportive environment with like-minded people.
  • Trulycompetitive basic salaries.
  • Lucrative, uncapped commission structure (up to 40%) paid upon start date.
  • Benefit from deal splits.
  • Opportunity to work globally with no restrictions on geographies or employment type.
  • Industry leading Tech Stack with all the necessary equipment to help optimize your desk.
  • Tailored remote working options. We understand this is not a one size fits all topic.
  • Frequent incentives – Early finishes, Monthly VIP Clubs, Presidents & Global travel.
  • Health insurances.
  • 4x well-being days a year.
  • Extra holiday earning potential.


If you’re interested in learning more, please reach out to Jamie Salmon, Chief Operating Officer for a confidential chat.


www.apsida.co.uk

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Jobs

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.