Full-Time

Scientific Advisor

Antibodies

Cradle

Cradle

51-200 employees

Secure ML-powered protein design platform

No salary listed

Company Does Not Provide H1B Sponsorship

Remote in USA

Hybrid

Category
Biology & Biotech (1)
Required Skills
Machine Learning
Requirements
  • PhD in molecular biology, bioengineering, bioinformatics, or a related field.
  • 5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies, with experience with biophysical and/or functional assays.
  • Deep knowledge of the biopharmaceutical research and development process, methods, and tooling.
  • Excellent analytical and communication skills, with the ability to translate complex scientific concepts into clear, actionable insights.
  • Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.
Responsibilities
  • Advise on identifying protein optimisation projects within customers' portfolios that are best suited to the Cradle platform.
  • Help translate scientific goals of projects (predominantly biotherapeutics) into objectives for the Cradle platform.
  • Deeply understand customer assays/workflows – research modalities/targets as necessary to gain a foundation in relevant concepts, assays and workflows.
  • Ensure quality/formatting of customer data is suitable for machine learning.
  • Train customers to use Cradle’s platform.
  • Collaborate with engineering to ensure Cradle’s platform outputs optimal protein designs to customers.
  • Present reports to help the customer interpret and assess platform outputs and forecasts.
  • Provide recommendations to inform go/no-go decisions and devise the most effective strategy for their projects.
  • Build and maintain strong relationships with immediate users of Cradle platform within the customer organization, as well as broader business stakeholders; keep them abreast of results and impact, on both project and portfolio levels.
  • Help existing customers identify further projects and business units that would benefit from Cradle’s platform, and collaborate with the Cradle sales team to enable these projects through relationship expansion.
  • Measure and monitor satisfaction of the customers with product as well as service.
  • Proactively gather customer feedback, and keep the customers informed as their feedback is then turned into improved features and services.
  • Collaborate with product teams at Cradle to guide product development so as to address customer needs.
Desired Qualifications
  • Experience with machine learning
  • Experience with non-antibody protein modalities, particularly enzymes.
  • Experience in relationship management and/or sales in biotech or software industry
  • Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.

Cradle.bio uses machine learning to design proteins. It provides a secure, private platform where clients can design protein sequences and retain full ownership of their IP. The system learns from each experimental round and proposes protein variants with predicted performance scores, enabling multi-property optimization in a single iteration and accelerating development. The product differentiates itself by offering a private, IP-secure workflow and by integrating biology, computation, and mathematics to optimize multiple properties faster than traditional methods. Cradle.bio serves a wide range of clients—from entrepreneurs to established companies in therapeutics, chemicals, materials, and food—and aims to help them reach their objectives in half the time, effectively shortening the path to market.

Company Size

51-200

Company Stage

Series B

Total Funding

$103.1M

Headquarters

Amsterdam, Netherlands

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Bayer's 2026 three-year deal integrates Cradle into antibody workflows.
  • $73M Series B from IVP fuels expansion post-Series A.
  • Marcus Schindler, ex-Novo Nordisk CSO, joined advisory board December 2025.

What critics are saying

  • Generate Biomedicines generates candidates 5x faster, eroding J&J and AbbVie share.
  • Absci captures food clients with 90% zero-shot developability in 6-12 months.
  • EU AI Act Q2 2026 mandates trigger Bayer and J&J exodus over IP fears.

What makes Cradle unique

  • CRADLE-1 optimizes multiple properties like binding and thermostability simultaneously.
  • In-house Amsterdam wet lab validates AI models with real experiments.
  • Secure Google Cloud platform ensures full client IP ownership and privacy.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Company Equity

Professional Development Budget

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-1%

2 year growth

-3%
PR Newswire
Mar 3rd, 2026
Former Novo Nordisk CSO Marcus Schindler joins Cradle's advisory board to accelerate AI protein engineering

Cradle, an enterprise-grade AI platform for protein engineering, has appointed Marcus Schindler to its advisory board. Schindler previously served as executive vice president for research and early development and chief scientific officer at Novo Nordisk, where he oversaw pipeline development across multiple therapeutic areas. The Amsterdam and Zurich-based company now powers more than 50 protein R&D programmes globally and partners with six of the top 25 biopharma organisations, including Johnson & Johnson, AbbVie and Novo Nordisk. In 2026, Cradle announced a new partnership with Bayer for antibody discovery. Cradle's SaaS platform enables scientists to engineer proteins for various modalities including enzymes, peptides, vaccines and antibodies, accelerating early research and development by two to 12 times. The company is backed by IVP, Index Ventures and Kindred Capital.

DDW (Drug Discovery World)
Jan 9th, 2026
Bayer partners with Cradle to advance AI-led drug discovery

Bayer partners with Cradle to advance ai-led drug discovery. Pharma giant Bayer has signed a three-year strategic collaboration with biotech company Cradle to advance AI-enabled antibody discovery and optimisation. Bayer aims to implement Cradle's AI software platform, used for protein engineering, to scale its drug discovery and development efforts. The company intends to integrate Cradle's platform with existing R&D workflows to enhance lead generation and optimisation across the therapeutic antibody pipeline. "We believe AI-driven molecule design, discovery and optimisation will be a key accelerator of our productivity moving forward," said Anastasia Hager, Global Head of Drug Discovery Sciences at Bayer's Pharmaceuticals Division. "Cradle's platform provides us with scalable scientist-centric solutions to maximise the opportunities in our biologics portfolio and potentially deliver faster, more effective medicines to patients." "Bayer's decision reflects a broader shift we're seeing: leading drug discovery organisations want AI that scales across portfolios, formats, and teams without requiring every scientist to become an ML expert or limiting AI's impact to asset-based deals," added Stef van Grieken, Co-Founder and CEO of Cradle. "Cradle brings enterprise-grade, lab-in-the-loop AI into the hands of the expert scientists working daily to design new molecules and treat diseases, helping reduce iterations while improving potency, developability, and manufacturability. We're excited to work with Bayer to operationalise AI at scale and translate it into faster, higher-quality candidates for the clinic." Under the agreement, Cradle will provide Bayer's antibody scientists with full access to its scientific AI software platform supporting a lab-in-the-loop approach, streamlined design-test-learn cycles, and coordinated execution across laboratory and external partners. Bayer and Cradle will also jointly work on a machine learning research project aimed at extending these capabilities even further.

Silicon Canals
May 28th, 2025
These Are The Richest Young Self-Made Dutch Tech Millionaires In 2025, According To Quote

In the ever-evolving world of startups and innovation, the Netherlands continues to shine as a breeding ground for young tech talent.From Amsterdam to Rotterdam, Dutch entrepreneurs are building companies that not only disrupt industries but also build personal fortunes that are nothing short of amazing.Each year, Quote magazine unveils its highly anticipated list of the Top 100 Young Self-Made Millionaires, and the 2025 edition confirms that tech remains dominant.These aren’t just early successes; these are founders building serious empires, ranging from remote work infrastructure to AI, design tools, and even crypto platforms.In this article, we have listed the 15 self-made tech millionaires from the above-mentioned list. Do have a look. Job Van Der VoortPosition: CEONet worth: €650M (8.3% increase from 2024)Remote is a global HR platform that helps companies hire, manage, and pay their entire team globally distributed workforces compliantly. With €650M to his name, and an 8.3 per cent increase from last year, Job credits the rise to solid growth “More margin, more customers, and more products — we’re almost profitable.”Job is the CEO and co-founder of Remote. He was previously a neuroscientist before becoming VP of Product at GitLab, the world’s largest all-remote company. With GitLab, he hired talent from 67 countries. Job is a sought-after presenter and often speaks about scaling a remote-first startup, remote culture, and the future of work.Douwe KielaPosition: CEONet worth: €200M (New to list)Contextual AI specialises in retrieval-augmented generation (RAG). The company’s goal is to improve how people work using artificial intelligence (AI)

Labiotech.eu
May 9th, 2025
The Netherlands’ Biotech Scene: The Country Sets Its Sights On Becoming A Global Leader By 2040

Newsletter Signup - Under Article / In Page"*" indicates required fields With one of the most densely concentrated life sciences and biotech ecosystems in Europe, the Netherlands is home to numerous biotech and pharmaceutical companies, and also happens to be the headquarters of the European Medicines Agency (EMA), which is now based in Amsterdam after it had to move out of London when the U.K. voted to leave the European Union (EU). As the Netherlands now sets its sights on becoming a global biotech leader by 2040, we take a deeper look at the country’s biotech scene.The Netherlands: Already a well-established biotech hubOverall, the biotech sector in the Netherlands is internationally oriented, with a strong base in early-stage research, academic excellence, and public-private partnerships.According to Annemiek Verkamman, managing director of hollandbio, a biotech industry association, the Netherlands has been building its biotech sector for decades, meaning that it is now a well-established life sciences and biotech hub. “We have world-renowned crop breeding companies, Leiden and Oss are leading biopharmaceutical hub spots, and there is a historical presence of industrial biotech knowledge institutions and companies such as DSM-Firmenich and Corbion.”Thanks to this, the country is now considered to be one of the leading European biotech hubs, along with the likes of Switzerland, France, and the U.K. It is currently home to around 1,979 life sciences companies, including several well-known biotech companies, such as Amsterdam-based uniQure, which developed the first approved gene therapy for hemophilia B.Furthermore, over the past couple of years – particularly since the arrival of the EMA in Amsterdam – the Netherlands has managed to attract a significant number of foreign life sciences companies, whether that be big pharma companies or up-and-coming biotechs. In fact, several large drugmakers, including AstraZeneca, Novartis, and Roche, currently have bases in the country

Labiotech.eu
Mar 27th, 2025
12 Ai Drug Discovery Companies You Should Know About

Newsletter Signup - Under Article / In Page"*" indicates required fields Artificial intelligence (AI) has taken the biotech industry by storm, allowing companies to speed up the drug discovery process while also making it more cost-effective. With so many companies in the industry now embracing the technology, we take a look at 12 AI drug discovery companies. The COVID-19 pandemic revealed AI to be an essential tool in helping to find treatments and vaccines with greater speed and precision. Since then, there have been several drug discovery breakthroughs for AI within the biopharma industry, from helping to quickly and efficiently discover a new antibiotic called abaucin to combat a multi-drug resistant bacteria, to fully discovering and designing a drug that has entered clinical trials. Here are 12 AI drug discovery companies currently making great strides with their technology. Anima Biotech Technology: mRNA biology modulators Disease areas: Immunology, oncology and neuroscienceRecent news: Announced promising preclinical data for lead pulmonary fibrosis candidate Anima Biotech’s AI drug discovery technology is built around its mRNA Lightning.AI platform, which images hundreds of cellular pathways in both healthy and diseased cells to train disease-specific AI models, making use of neural networks to help these models distinguish between healthy and diseased cells and identify dysregulated pathways. These pathways are subsequently analyzed to uncover novel targets backed by experimental validation. Anima currently has 20 preclinical candidates being evaluated for immunology, oncology, and neuroscience indications, with its most advanced candidate indicated for the treatment of lung fibrosis. The company announced in February 2024 that this candidate had shown promising preclinical results and could open up new avenues for treating patients with idiopathic pulmonary fibrosis. The AI drug discovery company also has ongoing collaborations with several pharma giants. After initially partnering with Eli Lilly in 2018 and Takeda in 2021, its most recent partnership was formed with AbbVie in 2023 for the discovery and development of mRNA biology modulators against oncology and immunology targets. Atomwise Technology: TYK2 inhibitor  Disease area: Autoimmune and autoinflammatory diseasesRecent news: Published results showcasing AtomNet’s ability for drug discoveryAtomwise is leveraging the power of AI in an attempt to revolutionize small molecule drug discovery