Cyber Security Researcher - Medical Device Focus

Location

INDIA

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What You Will Be Doing

• Malware analysis specifically on Network packets since Asimily is a Network based solution

• Ability to write signatures for the malware found on the Network packets

• Malware research using Static and Dynamic analysis on existing Malware affecting

• healthcare and other key verticals and write signatures for network detection for them

• Keep a close tab on NVD and other security vulnerabilities feeds and security bulletins

• Research malware and other exploits for the different security vulnerabilities and

• write signatures for them

• For vulnerabilities without any known exploits, go through existing set of research and write rules for them

• Continuously perform security research, analyze new and existing medical devices security vulnerabilities across device models and manufacturers. 

• Work closely with the development team & subject matter expert to build intelligence and rules into the product’s backend systems.

• Research on current and potential security threats on medical devices providing actionable data that can be used to drive risk mitigation solution development.

• Setup labs to test different kinds of malware

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What you need for this position

• Minimum Qualifications: 5+ years of experience in malware and threat research

• Must have a Computer Science, Computer Engineering or related technical discipline

• Ability to write Rules for the different types of malware found on the Network packets. Ability to write rules using Snort framework will be a plus

• Hands on experience with information security technologies and key concepts such as Vulnerability Management, CVE, Risk etc.

• Research ability to understand exploits in the wild for vulnerabilities (eg CVEs) would be a plus

• Knowledge of wireshark and other network packet inspection tools

• Scripting and programming experience with Python, bash

• Has innovative ideas and demonstrates confidence to promote, share and implement ideas into actionable outcomes

• Experience working with network streaming data, machine learning and large data sets is a plus

• This position requires some overlap during US work hours