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Security Lead - Remote

Posted Yesterday
DevOps / Sysadmin
Full Time
Worldwide

Overview

Apheris is looking for a hands-on Security Lead to define, operationalize, and scale its security capabilities, focusing on cloud and application security, incident response, and corporate security.

In Short

  • Lead cloud and application security initiatives.
  • Drive application security practices and secure coding guidance.
  • Manage incident response and vulnerability management processes.
  • Collaborate with engineering teams to embed security in design.
  • Maintain security tooling and evolve security frameworks.
  • Build strong relationships across teams to influence security decisions.
  • Support compliance programs like ISO 27001 and SOC 2.
  • Mentor team members to enhance their security skills.
  • Stay updated on emerging threats and best practices.
  • Work remotely with a diverse team focused on AI in pharma.

Requirements

  • A degree in computer science, engineering, or equivalent experience.
  • 5+ years in security engineering or related fields.
  • Expertise in AWS security, IAM, and network security.
  • Experience with secure development lifecycle practices.
  • Strong understanding of authentication and secrets management.
  • Experience in handling security incidents and threat detection.
  • Ability to influence secure design decisions across teams.
  • A pragmatic mindset balancing security and usability.
  • Experience mentoring and developing team members.

Benefits

  • Industry-competitive compensation with share options.
  • Remote-first working environment.
  • Wellbeing budget and mental health benefits.
  • Generous holiday allowance.
  • Office Days at Berlin HQ or other European locations.
  • A diverse, mission-driven team.
  • Opportunities for personal and professional growth.
apheris AI logo

apheris AI

Apheris AI is a pioneering company that specializes in federated life sciences data networks, tackling the significant challenge of accessing proprietary data that is often locked in silos due to intellectual property and privacy concerns. The company recognizes that publicly available datasets are inadequate for training high-quality machine learning models that meet industry standards. To address this, Apheris AI enables life sciences organizations to collaboratively train superior models using complementary data from multiple parties. The company is currently focusing on two key areas: structural biology and ADMET, and is committed to using AI and machine learning for positive impact.

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